1 0:00:00 --> 0:00:09 That's a very good idea. Let's just say, oh, poor Joe, clearly turbo cancer. That's the line we should take. 2 0:00:09 --> 0:00:16 Ignore all of the doubles, the masks and all of that, because that supports the truth. 3 0:00:16 --> 0:00:23 See, that way there's no incrimination other than the vaccine. It goes back to why. 4 0:00:23 --> 0:00:29 So whether it's true or not doesn't matter. Let's face it, they never got tied up with truth prior to this. 5 0:00:29 --> 0:00:36 There was no truth about the virus, the pathogenicity, the PCR test, anything. 6 0:00:36 --> 0:00:41 That didn't require any proof or any peer review testing. 7 0:00:41 --> 0:00:45 So what I would say is that that is what, well, that's what I'm pushing anyway. 8 0:00:45 --> 0:00:53 So now I'm getting a small amount of kickback, a pushback on the grounds that I'm a heartless bastard. 9 0:00:53 --> 0:00:56 But I accept that. That's been part of my life. 10 0:00:56 --> 0:01:01 We knew, that's right. So finally, the truth about Gerry Waters comes out. 11 0:01:01 --> 0:01:09 He's a heartless bastard, except when he's got patients who are paying for his services. 12 0:01:09 --> 0:01:14 Oh, absolutely. That changes everything. Yeah, that changes everything. Yeah. Okay. 13 0:01:14 --> 0:01:19 Thank you. So I had a, so I really liked that line. 14 0:01:19 --> 0:01:24 We'll just say to everybody, oh, that's turbo cancer at work and let them argue off, blah, blah. 15 0:01:24 --> 0:01:32 So I must say, I'm, Gerry, I did like your word about King Charles Covess, Your Highness. 16 0:01:32 --> 0:01:36 See, they both end in E-double-S, which is very appropriate. 17 0:01:36 --> 0:01:42 And today we've got Curtis Cost with Stephen Frost. 18 0:01:42 --> 0:01:51 When you meet Charles Covess face to face, you realize what a good looking, impressive man he is. 19 0:01:51 --> 0:01:59 I said that to Charles when I met you. I said you're much more impressive in the flesh than you are in a postage stamp. 20 0:01:59 --> 0:02:02 You're very kind, Gerry. Thank you. It was wonderful to be with you. 21 0:02:02 --> 0:02:05 I'm also a liar. I'm also a liar. Psychopathic liar. 22 0:02:05 --> 0:02:10 Thank you. I accept. I never question compliments. 23 0:02:10 --> 0:02:15 But many, in my experience, many women, when you give them a compliment, they go, no, I'm not. No, I'm not. 24 0:02:15 --> 0:02:28 I say, yes, you are. And I'm going to Berlin, Sebastian, unfortunately, on the 11th of June for the three day European Industrial Hemp Association Conference. 25 0:02:28 --> 0:02:35 So Wednesday, Thursday, Friday. So I'm flying there that day coming back on Saturday, the 14th of June. 26 0:02:35 --> 0:02:42 So quick. But there's the all of the all of the key people in hemp will be in Berlin. 27 0:02:42 --> 0:02:49 That also rhymes. Guys, I'm being a bit poetic today. All right, let's get this show on the road. Curtis, I will introduce you now. 28 0:02:49 --> 0:02:56 It's great to see you as usual. And I will do my intro. Just one second. 29 0:02:56 --> 0:03:04 And I've lost my my intro bit. This is a bit embarrassing. Just one second. Here it is. Beautiful. 30 0:03:04 --> 0:03:11 All right, everybody. Welcome to Medical Doctors for Covid Ethics International. 31 0:03:11 --> 0:03:20 In today's meeting, this community was ignited nearly four years ago by Dr. Stephen Frost, a Welsh radiologist with a passion for truth. 32 0:03:20 --> 0:03:30 As a seasoned whistleblower and activist, Stephen founded this group to champion truth, ethics, justice, freedom and health in the face of global challenges. 33 0:03:30 --> 0:03:41 I'm Charles Kovace, your moderator, and I'm Australasia's passionate provocateur in my red jacket, the color of passion to spark your passion and enthusiasm. 34 0:03:41 --> 0:03:48 And enthusiasm comes from two Greek words, en and theos, meaning inside God. 35 0:03:48 --> 0:03:54 So when you are enthusiastic, you are like being inside the mind of God. I love that idea. 36 0:03:54 --> 0:03:58 After 20 years as a lawyer, I shifted gears 32 years ago. 37 0:03:58 --> 0:04:04 And for the past 14 years, I've guided parents and lawyers in addressing vaccine injuries and medical failures. 38 0:04:04 --> 0:04:14 Today's guest, Curtis Cost, is a very, very early starter. He's just a second, 34 years in warning people about the dangers of vaccines. 39 0:04:14 --> 0:04:21 So, Curtis, I'll come out in your thing, but that you are very enlightened amongst many people. 40 0:04:21 --> 0:04:27 As chief executive of an industrial hemp company as well, I'm driven to innovate and activate. 41 0:04:27 --> 0:04:35 And everyone, please read what you can about hemp. I've got something very important to share with you. 42 0:04:35 --> 0:04:41 Here is a book called The Founding of Australia. 43 0:04:41 --> 0:04:56 The argument about Australia's origins. Why did Australia, why did England occupy, move to Australia in 1788 when the first ships arrived after James Cook, 44 0:04:56 --> 0:05:07 after James Cook allegedly discovered it in 1770. And you will not believe that there are 34 references to hemp. 45 0:05:07 --> 0:05:18 And I have been told when I first got into hemp 13 years ago that Australia was used by England as a source of hemp. 46 0:05:18 --> 0:05:22 This book absolutely confirms it. Original sources. 47 0:05:22 --> 0:05:30 England said we need a source of hemp because where was England getting its hemp, which was the basis on which it ran its whole navy. 48 0:05:30 --> 0:05:34 Where was the source of hemp coming from? Who knows? 49 0:05:35 --> 0:05:41 Russia. Very interesting. So we can't rely on Russia for our hemp source. 50 0:05:41 --> 0:05:47 So I'll tell you more about that. But very exciting. So hemp is you play. Mark my words, everybody. 51 0:05:47 --> 0:05:51 Take an interest in industrial hemp. It's the crop of the future. 52 0:05:51 --> 0:06:01 At this time, we remember Ryan Ofulmik, German US lawyer who is languishing in jail from a political show trial. 53 0:06:01 --> 0:06:07 Anything that you can do to shine a light on the plight of Ryan Ofulmik, please do so. 54 0:06:07 --> 0:06:14 Our group is a dynamic blend of voices heading from corners of the globe, united in pursuit of truth. 55 0:06:14 --> 0:06:17 Many of us once viewed vaccines as benign. 56 0:06:17 --> 0:06:25 Now many wear the badges of passionate anti-vaxxers with pride, awakened to the new realities and the true realities. 57 0:06:25 --> 0:06:30 First time as you warmly embraced introduce yourself in the chat, share where you're from. 58 0:06:30 --> 0:06:39 And let's connect. If you've got a podcast, book, newsletter or show, drop your links in the chat so we can amplify your work and stay connected. 59 0:06:39 --> 0:06:47 We're in the thick of a global struggle. We call it World War Three with medical and science battles among 12 battle fronts. 60 0:06:47 --> 0:06:50 Another battle front is the spiritual war in which we find ourselves. 61 0:06:50 --> 0:06:56 Five years into this fight with more to come, there's no room for wearyness. Stay strong, stay healthy. 62 0:06:56 --> 0:06:59 You come to this group to get clues on health. 63 0:06:59 --> 0:07:10 And if you have a health problem, put your problem in the chat because there's some brilliant, brilliant health practitioners who come to these meetings. 64 0:07:10 --> 0:07:14 Science, we know, is never done. It thrives on challenge and inquiry. 65 0:07:14 --> 0:07:20 Some here believe in viruses, others see them as fiction and many are still exploring. 66 0:07:20 --> 0:07:24 All views fuel our dialogue. 67 0:07:24 --> 0:07:32 Our two and a half hour sessions are action oriented, spewing, not spewing, spawning initiatives and collaborations from the connections we forge. 68 0:07:32 --> 0:07:39 Afterward, Tom Rodman hosts an optional Telegram video chat. Find the link to this in the chat. 69 0:07:39 --> 0:07:46 We'll hear from our guest presenter today, Curtis Cost, who's now speaking to us for the third time, followed by Q&A. 70 0:07:46 --> 0:07:51 Per tradition, Stephen Frost opens the questioning for the first 15 minutes. 71 0:07:51 --> 0:07:54 Raise your hand via the reactions tab to join in. 72 0:07:54 --> 0:07:59 This is a free speech haven, appropriately moderated to keep ideas flowing. 73 0:07:59 --> 0:08:04 Free speech is our weapon to safeguard human liberties. 74 0:08:04 --> 0:08:06 If something offends you, own it. 75 0:08:06 --> 0:08:13 We lovingly sidestep the outrage culture and its demands to silence truth. 76 0:08:13 --> 0:08:18 The triggering industry is similarly aimed to silence truth. 77 0:08:18 --> 0:08:21 We choose love over fear. 78 0:08:21 --> 0:08:26 Fear binds and sickens. Love liberates, heals and inspires. 79 0:08:26 --> 0:08:31 These twice weekly gatherings are far from mere talk. They've birthed real world actions and alliances. 80 0:08:31 --> 0:08:41 A key tactic in our fight is exposing medical crimes on social media, rallying behind the demand of medical truth now. 81 0:08:41 --> 0:08:46 Everybody, please use that term medical truth now. 82 0:08:46 --> 0:08:51 John Rappaport recommended it. We're using it in this group. 83 0:08:51 --> 0:08:56 Please use it. The more of us that talk about medical truth now, the better. 84 0:08:56 --> 0:09:01 This call can unite humanity in a surge for accountability. 85 0:09:01 --> 0:09:05 Share solutions, products or resources in the chat to empower our community. 86 0:09:05 --> 0:09:08 Our meetings are recorded and posted within 24 hours on the Rumble channel. 87 0:09:08 --> 0:09:18 We're thrilled to welcome our guest presenter, Curtis Cost, and we value his insights deeply for the purposes of the recording. 88 0:09:18 --> 0:09:22 I will now give a quick intro. 89 0:09:22 --> 0:09:28 The full intro is in the notes to the recording if you're watching the recording. 90 0:09:28 --> 0:09:31 So, Curtis, as I said for the third time, is speaking to us. 91 0:09:31 --> 0:09:32 We're most grateful. 92 0:09:32 --> 0:09:37 He's a BA from Vassar College as well as an MBA from Kellogg School of Management at Northwestern Uni. 93 0:09:37 --> 0:09:42 He's the author of the book Vaccines are Dangerous, a Warning to the Global Community. 94 0:09:42 --> 0:09:45 The first edition of this was published in 1991, Curtis. 95 0:09:45 --> 0:09:48 Well done. 34 years ago. 96 0:09:48 --> 0:09:58 Of course, we should be aware that in 1895, and somebody might have it ready, in 1895, there was an Anti-Vaccination League in America. 97 0:09:58 --> 0:10:04 Somewhere in my computer, I've got saved the fly that says, don't get vaccinated. 98 0:10:04 --> 0:10:07 Anyway, 1991, Curtis. Well done. 99 0:10:07 --> 0:10:10 The second edition was published in 2010. 100 0:10:10 --> 0:10:16 For over 30 years, Curtis Cost has been warning the public about the dangers of and ineffectiveness of vaccines. 101 0:10:16 --> 0:10:25 Curtis has been interviewed on national and local television and radio programs, including Tony Brown's journal, The Gary Bird Show, The Gary Null Show, and others. 102 0:10:25 --> 0:10:32 In addition, he's been interviewed by The New York Times, The Village Voice, Ebony Magazine, The Amsterdam News, The Final Call, and many others. 103 0:10:32 --> 0:10:35 Curtis is also a journalist for several publications. 104 0:10:35 --> 0:10:38 Most recently, he's a writer on Substack. 105 0:10:38 --> 0:10:42 Curtis will put the link into the Substack for those of you who didn't get the invitations. 106 0:10:42 --> 0:10:45 CurtisCost.Substack.com. 107 0:10:45 --> 0:10:53 Curtis has also organized community forums on topics such as vaccines, AIDS, defending parental rights, and other issues, including the Harlem Vaccine Forum, 108 0:10:53 --> 0:10:59 the COVID vaccine on trial, and COVID crisis National Town Hall Forum. 109 0:10:59 --> 0:11:04 Curtis is also one of the producers of the film Medical Racism, The New Apartheid. 110 0:11:04 --> 0:11:09 He has become very active in opposing the creation of quarantine camps in New York State. 111 0:11:09 --> 0:11:14 He sees quarantine camps as a threat not only to New York, but also the rest of America. 112 0:11:14 --> 0:11:17 And I assure you a threat here in Australia. 113 0:11:17 --> 0:11:20 The quarantine camps have been built. 114 0:11:20 --> 0:11:26 And Singapore has just brought in new laws that says if you refuse a mandated vaccine, you go to Java. 115 0:11:26 --> 0:11:29 Six months first offence, 12 months second offence. 116 0:11:29 --> 0:11:31 The game is on everybody. 117 0:11:31 --> 0:11:39 Curtis has been active in organizing forums, rallies, and other events against bad New York state bills that impact the medical freedoms of New Yorkers 118 0:11:39 --> 0:11:45 and ultimately the country and medical freedoms, including your absolute right to bodily autonomy. 119 0:11:46 --> 0:11:51 The sub stack will be in the link. His website is vaccinesaredangerous.blogspot.com. 120 0:11:51 --> 0:11:54 Curtis will also put that in the chat. 121 0:11:54 --> 0:11:57 And today's topic, I won't go through the bits and the pieces. 122 0:11:57 --> 0:12:01 He's going to tell us about that, but it's about China's dramatic population decline. 123 0:12:01 --> 0:12:05 And I must say it's quite it's such an intriguing idea. 124 0:12:05 --> 0:12:08 So, Curtis, welcome to Stephen Frost. 125 0:12:08 --> 0:12:11 Thank you for creating this group. 126 0:12:11 --> 0:12:14 I'd love to thank you. Delighted to see you in your red top, Stephen. 127 0:12:14 --> 0:12:16 It's very appropriate. 128 0:12:16 --> 0:12:21 And and Curtis, have you got Curtis's link? 129 0:12:23 --> 0:12:24 Say that again. 130 0:12:24 --> 0:12:26 Have you got the link to his video? 131 0:12:26 --> 0:12:28 I sent it to you. 132 0:12:28 --> 0:12:30 You didn't read the invitation that I said? 133 0:12:30 --> 0:12:34 Yes, I have. It's in the it's in the it's in the 134 0:12:34 --> 0:12:36 I'm ready. 135 0:12:36 --> 0:12:42 The that was in the invite and Curtis, I am a subscriber to your sub stack. 136 0:12:42 --> 0:12:43 I recommend everybody. 137 0:12:43 --> 0:12:46 And I did watch that that amazing video. 138 0:12:46 --> 0:12:48 So over to you, Curtis. 139 0:12:48 --> 0:12:53 We are in your hands and Stephen, well done for organizing Curtis to be here. 140 0:12:53 --> 0:12:54 Go Curtis. 141 0:12:54 --> 0:12:57 Thank you very much. It's an honor to be here. 142 0:12:57 --> 0:13:06 And the topic about the declining population trend in China is something I literally accidentally stumbled upon. 143 0:13:06 --> 0:13:15 I happened to start noticing a lot of videos from China, ordinary Chinese people talking about the missing people. 144 0:13:15 --> 0:13:25 I mean, major cities like Shanghai, Beijing were places that normally would be crowded with people on the streets and traffic and subways and buses empty. 145 0:13:25 --> 0:13:28 And it's a trend all over China. 146 0:13:28 --> 0:13:36 And then there was a theory that, well, maybe a lot of people decide to move into the countryside because it's less hectic, less expensive. 147 0:13:36 --> 0:13:40 But in the countryside, we see the exact same thing all over China. 148 0:13:40 --> 0:13:46 We see empty villages, towns, and only are they empty. 149 0:13:46 --> 0:13:55 People's belongings, their clothes and other personal items are still in the homes as if they were swept up suddenly. 150 0:13:55 --> 0:13:58 And as you'll see that I believe is literally true. 151 0:13:58 --> 0:14:04 And we have a situation where many millions of people just seem to have disappeared. 152 0:14:04 --> 0:14:19 Well, when I was looking at this, I knew that there was a missing piece and that missing piece is the potential deliberate murdering of the Chinese people by their own government. 153 0:14:19 --> 0:14:23 And as you'll see from the video, it's not my opinion. 154 0:14:23 --> 0:14:26 It's all documented and you draw your own conclusions. 155 0:14:26 --> 0:14:33 And even more shocking at the end of the presentation is a Chinese woman, background in finance and other things. 156 0:14:33 --> 0:14:37 And she's been tracking the issue of the Chinese population. 157 0:14:37 --> 0:14:51 And she estimates that something like 400 million people in China have been killed, dead in the past four or five years since 2020. 158 0:14:51 --> 0:14:58 And other researchers have now come forth confirming that they've reached the same conclusion about the numbers. 159 0:14:58 --> 0:15:08 I must admit that when I came across this, despite all the horrible things that I've learned about over the years, all the frightening things with vaccines, what they do to people, this one really shook me up. 160 0:15:08 --> 0:15:19 I mean, I think it took me about a week to calm myself down and calm the grips because we're talking about the potential mass murder of 400 million people. 161 0:15:19 --> 0:15:30 If it's true, and everybody draws their own conclusions, it represents one of, if not the greatest, mass killing or mass genocide in human history. 162 0:15:30 --> 0:15:45 And so I think the whole world needs to look at this because this has implications, not just morally, but for us, since we have become very dependent on China for pharmaceutical products. 163 0:15:45 --> 0:15:54 I mean, it's a really good idea to be getting our pharmaceutical products from a country that may have engaged in this, especially the vaccines and their food. 164 0:15:54 --> 0:15:59 Do we really want to naively trust the food coming from this country? 165 0:15:59 --> 0:16:03 There are a lot of other applications, but I guess we can get into that in the question and answer. 166 0:16:03 --> 0:16:06 But I think I've given enough of an introduction. 167 0:16:06 --> 0:16:12 And so if you're ready to play the video that I put together on this, feel free. 168 0:16:12 --> 0:16:18 Is that what you now want to do? Play the video? 169 0:16:18 --> 0:16:19 Yes, please. 170 0:16:19 --> 0:16:22 Okay. I can do all things. 171 0:16:22 --> 0:16:31 Talking about all things, it reminds me of a wonderful limerick about Roger. 172 0:16:31 --> 0:16:32 And it goes like this. 173 0:16:32 --> 0:16:33 It goes like this. 174 0:16:33 --> 0:16:41 There once was a girl from Cape Cod who thought that all things came from God, but it wasn't the Almighty that lifted his nightie. 175 0:16:41 --> 0:16:45 It was Roger the Lodge of the sod. 176 0:16:45 --> 0:16:48 Anyway, just one second. 177 0:16:48 --> 0:16:53 I wasn't expecting to do this, Curtis, but I'm sure it will work because I've got the link here. 178 0:16:53 --> 0:16:55 I've got the link. 179 0:16:55 --> 0:16:56 Just one second. 180 0:16:56 --> 0:16:59 We're in good shape. 181 0:16:59 --> 0:17:02 As I say in the classics, we are in a good shape. 182 0:17:02 --> 0:17:05 We've got the share sound. 183 0:17:05 --> 0:17:11 We've got the link here. 184 0:17:11 --> 0:17:14 So just one second. 185 0:17:14 --> 0:17:30 It's chugging away, as you know, all you computer experts. 186 0:17:30 --> 0:17:31 Tom, can you see that? 187 0:17:31 --> 0:17:33 It's screen sharing Charles. 188 0:17:33 --> 0:17:34 Oh, there we are. 189 0:17:34 --> 0:17:35 Go ahead. 190 0:17:35 --> 0:17:37 It takes time to load. 191 0:17:37 --> 0:17:38 All right. 192 0:17:38 --> 0:17:39 So that's the right one. 193 0:17:39 --> 0:17:42 Curtis, what happened to 400 million people in China? 194 0:17:42 --> 0:17:45 Yep. 195 0:17:45 --> 0:17:47 And how long will this video go for? 196 0:17:47 --> 0:17:48 Just so that people can... 197 0:17:48 --> 0:17:49 About 30 minutes. 198 0:17:49 --> 0:17:50 Beautiful. Everybody. 199 0:17:50 --> 0:17:52 This is very interesting data. 200 0:17:52 --> 0:17:58 As Curtis says, do your own thinking and let's do some collaborative learning on this video. 201 0:17:58 --> 0:18:00 I've watched it and well done for sharing it. 202 0:18:09 --> 0:18:29 Is the 1.4 billion population figure just a lie? 203 0:18:29 --> 0:18:30 The greatest mystery. 204 0:18:30 --> 0:18:35 Why are so many places in China eerily empty like ghost towns? 205 0:18:35 --> 0:18:38 A haunting mystery is gripping China. 206 0:18:38 --> 0:18:41 Where have all the people gone? 207 0:18:41 --> 0:18:45 Viral videos show mega cities and villages eerily deserted, 208 0:18:45 --> 0:18:50 raising chilling questions about a possible population collapse in the world's second largest economy. 209 0:18:50 --> 0:18:54 Let's explore this unsettling phenomenon sweeping across China. 210 0:18:54 --> 0:18:58 From bustling metropolises like Zhengzhou, Xiamen and Wuhan, 211 0:18:58 --> 0:19:03 to remote rural villages, streets, malls and markets are shockingly empty. 212 0:19:03 --> 0:19:06 In Zhengzhou, home to 13 million people, 213 0:19:06 --> 0:19:11 residents report deserted shopping centers, shuttered stores and silent streets, 214 0:19:11 --> 0:19:14 even in once thriving areas like Irma Road. 215 0:19:14 --> 0:19:17 Locals say store staff outnumber customers. 216 0:19:17 --> 0:19:19 A suit shop owner lamented, 217 0:19:19 --> 0:19:21 Business gets worse by the day. 218 0:19:21 --> 0:19:25 We raise prices just to cover rent. 219 0:19:25 --> 0:19:27 Online people are asking, 220 0:19:27 --> 0:19:29 Morning rush hour isn't congested anymore. 221 0:19:29 --> 0:19:32 Have millions left the city? 222 0:19:32 --> 0:19:36 The same eerie quiet plagues Fuzhou, Xiamen and Dayebei. 223 0:19:36 --> 0:19:38 Prime shopping districts are abandoned, 224 0:19:38 --> 0:19:41 restaurants and supermarkets sit vacant, 225 0:19:41 --> 0:19:45 and real estate, once valued at 19,000 yuan per square meter, 226 0:19:45 --> 0:19:49 now languishes at 10,000 yuan with no buyers. 227 0:19:49 --> 0:19:53 Even offers to give away property find no takers. 228 0:19:53 --> 0:19:56 In downtown Xiamen, a flagship mall stands idle, 229 0:19:56 --> 0:20:00 and a Venice-themed water project reeks of sewage. 230 0:20:00 --> 0:20:03 Electric scooters and storefronts gather dust. 231 0:20:03 --> 0:20:05 One resident remarked, 232 0:20:05 --> 0:20:08 This is the heart of the city, and there's no one here. 233 0:20:08 --> 0:20:11 So, where did everyone go? 234 0:20:11 --> 0:20:14 Despite Beijing's claims of a stable population, 235 0:20:14 --> 0:20:17 residents are documenting a stark decline. 236 0:20:17 --> 0:20:19 Markets are lifeless, 237 0:20:19 --> 0:20:21 subways run empty, 238 0:20:21 --> 0:20:23 physical retail is crumbling. 239 0:20:23 --> 0:20:25 A merchant shared, 240 0:20:25 --> 0:20:28 We used to have busy and slow seasons. 241 0:20:28 --> 0:20:30 Now it's just declined. 242 0:20:30 --> 0:20:33 Every month is worse than the last. 243 0:20:33 --> 0:20:36 Business owners insist this isn't just reduced spending, 244 0:20:36 --> 0:20:39 it's a population collapse. 245 0:20:39 --> 0:20:40 One said, 246 0:20:40 --> 0:20:44 I opened at 10 a.m., not a single customer all day. 247 0:20:44 --> 0:20:48 The streets are empty, it's not effort, it's reality. 248 0:20:48 --> 0:20:51 In Wuhan, once vibrant shopping areas like Zheng Han Road 249 0:20:51 --> 0:20:53 are lined with closed storefronts, 250 0:20:53 --> 0:20:56 including major chains like Starbucks and department stores. 251 0:20:56 --> 0:20:59 The desolation extends nationwide. 252 0:20:59 --> 0:21:02 Food courts sit two-thirds empty during lunch rushes. 253 0:21:02 --> 0:21:05 Entire pedestrian streets are shuttered. 254 0:21:05 --> 0:21:09 In Chengdu's Chengxi Road, a popular weekend hotspot, 255 0:21:09 --> 0:21:11 Sunday crowds have vanished. 256 0:21:11 --> 0:21:14 Even rural villages are ghost towns. 257 0:21:14 --> 0:21:17 Videos show abandoned homes fully furnished with TVs, 258 0:21:17 --> 0:21:21 clothes, and flashlights, yet untouched for years. 259 0:21:21 --> 0:21:25 In Guizhou and northeast China, accessible towns are silent. 260 0:21:25 --> 0:21:28 In Hunan, travelers find pristine housing blocks 261 0:21:28 --> 0:21:30 filled with belongings but no residents. 262 0:21:30 --> 0:21:32 A local said, 263 0:21:32 --> 0:21:35 Our village of hundreds now has five old men. 264 0:21:35 --> 0:21:38 Everyone else has left. 265 0:21:38 --> 0:21:41 This post-COVID exodus is raising alarms. 266 0:21:41 --> 0:21:45 Experts suggest China's true population loss may be staggering, 267 0:21:45 --> 0:21:48 driven by years of lockdowns, economic hardship, 268 0:21:48 --> 0:21:50 and underreported deaths. 269 0:21:50 --> 0:21:52 Villages have emptied. 270 0:21:52 --> 0:21:54 Cities have hollowed out. 271 0:21:54 --> 0:21:56 Citizens are questioning official narratives, 272 0:21:56 --> 0:22:00 from population figures to public institutions. 273 0:22:00 --> 0:22:02 Many point to persistent health issues, 274 0:22:02 --> 0:22:04 suspected unreported COVID waves, 275 0:22:04 --> 0:22:07 and a rise in sudden deaths. 276 0:22:07 --> 0:22:09 A Luoyang resident said, 277 0:22:09 --> 0:22:11 Cemeteries are full of young names. 278 0:22:11 --> 0:22:15 So many people have just disappeared. 279 0:22:15 --> 0:22:17 A Beijing resident added, 280 0:22:17 --> 0:22:19 The illness never stopped. 281 0:22:19 --> 0:22:21 Kids keep getting sick. 282 0:22:22 --> 0:22:24 In Hebei, they stopped cremating. 283 0:22:24 --> 0:22:26 There are too many bodies. 284 0:22:26 --> 0:22:31 China's official claim of 1.4 billion people is under scrutiny. 285 0:22:31 --> 0:22:33 The eerie silence in its cities and villages 286 0:22:33 --> 0:22:35 tells a starkly different story, 287 0:22:35 --> 0:22:39 one that's sparking concern about a hidden crisis. 288 0:22:52 --> 0:22:56 China's official claim of 1.4 billion people is under scrutiny. 289 0:22:56 --> 0:22:59 The eerie silence in its cities and villages 290 0:22:59 --> 0:23:01 tells a starkly different story, 291 0:23:01 --> 0:23:05 one that's sparking concern about a hidden crisis. 292 0:23:05 --> 0:23:08 The eerie silence in its cities and villages 293 0:23:08 --> 0:23:11 tells a starkly different story, 294 0:23:11 --> 0:23:15 one that's sparking concern about a hidden crisis. 295 0:23:21 --> 0:23:25 China's official claim of 1.4 billion people is under scrutiny. 296 0:23:25 --> 0:23:28 The eerie silence in its cities and villages 297 0:23:28 --> 0:23:31 tells a starkly different story, 298 0:23:31 --> 0:23:35 one that's sparking concern about a hidden crisis. 299 0:23:35 --> 0:23:38 The eerie silence in its cities and villages 300 0:23:38 --> 0:23:41 tells a starkly different story, 301 0:23:41 --> 0:23:45 one that's sparking concern about a hidden crisis. 302 0:23:51 --> 0:23:55 China's official claim of 1.4 billion people is under scrutiny. 303 0:23:55 --> 0:23:58 The eerie silence in its cities and villages 304 0:23:58 --> 0:24:01 tells a starkly different story, 305 0:24:01 --> 0:24:05 one that's sparking concern about a hidden crisis. 306 0:24:05 --> 0:24:08 The eerie silence in its cities and villages 307 0:24:08 --> 0:24:11 tells a starkly different story, 308 0:24:11 --> 0:24:15 one that's sparking concern about a hidden crisis. 309 0:24:51 --> 0:24:55 China's official claim of 1.4 billion people is under scrutiny. 310 0:24:55 --> 0:24:58 The eerie silence in its cities and villages 311 0:24:58 --> 0:25:01 tells a starkly different story, 312 0:25:01 --> 0:25:05 one that's sparking concern about a hidden crisis. 313 0:25:05 --> 0:25:08 The eerie silence in its cities and villages 314 0:25:08 --> 0:25:11 tells a starkly different story, 315 0:25:11 --> 0:25:15 one that's sparking concern about a hidden crisis. 316 0:27:51 --> 0:27:54 The eerie silence in its cities and villages 317 0:27:54 --> 0:27:57 tells a starkly different story, 318 0:27:57 --> 0:28:00 one that's sparking concern about a hidden crisis. 319 0:28:00 --> 0:28:03 China's official claim of 1.4 billion people 320 0:28:03 --> 0:28:06 is under scrutiny. 321 0:28:21 --> 0:28:24 China's official claim of 1.4 billion people 322 0:28:24 --> 0:28:27 is under scrutiny. 323 0:28:51 --> 0:28:54 In Shanghai, China, the world's third largest city 324 0:28:54 --> 0:28:57 remains in lockdown. 325 0:28:57 --> 0:29:00 25 million residents ordered confined to their homes. 326 0:29:00 --> 0:29:03 They're using bicycle locks and padlocks just to keep people in. 327 0:29:03 --> 0:29:06 CNN's David Culver says government workers 328 0:29:06 --> 0:29:09 sealed his front door to prevent him from leaving. 329 0:29:09 --> 0:29:12 Just close the door. 330 0:29:12 --> 0:29:15 Just close the door. 331 0:29:15 --> 0:29:18 Just close the door. 332 0:29:18 --> 0:29:21 He's using his front door to prevent him from leaving. 333 0:29:21 --> 0:29:24 Just clarify, you're shut in, there's like a paper barrier 334 0:29:24 --> 0:29:27 keeping you from exiting, going to the food market? 335 0:29:27 --> 0:29:30 I can't go outside that door. There's a seal. 336 0:29:30 --> 0:29:33 If I do, physically I could do it, but I would break the seal 337 0:29:33 --> 0:29:36 and there's repercussions for that. 338 0:29:36 --> 0:29:39 The draconian measures are enforced by men in white hazmat suits, 339 0:29:39 --> 0:29:42 known as big whites. 340 0:29:42 --> 0:29:45 Some citizens in the authoritarian nation are losing it, 341 0:29:45 --> 0:29:48 some people are trying the lockdown by screaming 342 0:29:48 --> 0:29:51 from their apartment windows into the night. 343 0:29:51 --> 0:29:54 It's straight out of a dystopian sci-fi movie. 344 0:29:54 --> 0:29:57 Some people are yelling out, we're starving. 345 0:29:57 --> 0:30:00 We're starving. 346 0:30:00 --> 0:30:03 We're starving. 347 0:30:03 --> 0:30:06 We're starving. 348 0:30:06 --> 0:30:09 Let me go home. 349 0:30:09 --> 0:30:12 Let me go home. 350 0:30:12 --> 0:30:15 Let me go home. 351 0:30:15 --> 0:30:18 Let me go home. 352 0:31:06 --> 0:31:09 Screaming 353 0:31:30 --> 0:31:33 You can't go in. 354 0:31:33 --> 0:31:36 Police! 355 0:31:36 --> 0:31:39 Police! 356 0:31:39 --> 0:31:42 You better not fight, I'm going to record this. 357 0:31:42 --> 0:31:45 Go away! Go away! Go away! 358 0:31:45 --> 0:31:48 So these protests have been kicked off, I think initially 359 0:31:48 --> 0:31:51 by a big fire that kicked off in an apartment building 360 0:31:51 --> 0:31:54 in Orumqi, which is in the Xinjiang region, 361 0:31:54 --> 0:31:57 which is in the northwest of China, and that led to 362 0:31:57 --> 0:32:00 officially a count of 10 people's deaths in Xinjiang. 363 0:32:00 --> 0:32:03 There was footage that emerged from that which showed 364 0:32:03 --> 0:32:06 that firefighters may have found it difficult to get to 365 0:32:06 --> 0:32:09 the people inside the apartment building because of 366 0:32:09 --> 0:32:12 zero Covid policies and because of the strict lockdowns 367 0:32:12 --> 0:32:15 in Xinjiang. 368 0:32:15 --> 0:32:18 Whose child are you? Whose father are you? 369 0:32:18 --> 0:32:21 Don't you understand? 370 0:32:21 --> 0:32:24 And so that led to anger amongst the Orumqi population, 371 0:32:24 --> 0:32:27 which then spread to other cities around China. 372 0:32:27 --> 0:32:30 In Shanghai, in Beijing, in Nanjing, all over China really. 373 0:32:30 --> 0:32:33 And people have been calling for similar things. 374 0:32:33 --> 0:32:36 They've been calling for an end to Covid policy, 375 0:32:36 --> 0:32:39 which seems to be their main gripe at the moment, their main demand. 376 0:32:39 --> 0:32:42 As well as more outrageous calls, which we haven't heard 377 0:32:42 --> 0:32:45 since 1989 back in Tiananmen Square. 378 0:32:45 --> 0:32:48 Some people are calling for the end to dictatorship, some people are calling 379 0:32:48 --> 0:32:51 for President Xi Jinping himself to step down. 380 0:32:52 --> 0:32:55 This is really, you know, incredible to see 381 0:32:55 --> 0:32:58 in an atmosphere like this. 382 0:33:05 --> 0:33:08 The astounding pictures that have been coming in from China, 383 0:33:08 --> 0:33:11 a country that once made use for setting up a Covid hospital 384 0:33:11 --> 0:33:14 in a few days, eight days to be precise in 2020, 385 0:33:14 --> 0:33:17 is now in use for developing makeshift cams 386 0:33:17 --> 0:33:20 and quarantine centers at lightning speed. 387 0:33:20 --> 0:33:23 And this too after three years of the outbreak. 388 0:33:23 --> 0:33:26 Take a look at how China is bracing for a Covid search, 389 0:33:26 --> 0:33:29 quarantine centers and site toilets, people being made to pay 390 0:33:29 --> 0:33:32 for these quarantine centers. 391 0:33:50 --> 0:33:53 This is a picture of quarantine centers and makeshift cams. 392 0:33:57 --> 0:34:00 If you think the Covid crackdown measures are brutal, 393 0:34:00 --> 0:34:03 then what do you feel about this? 394 0:34:03 --> 0:34:06 These people locked up in quarantine cams 395 0:34:06 --> 0:34:09 being treated worse than prisoners. 396 0:34:11 --> 0:34:14 Toilets are being used as quarantine centers 397 0:34:14 --> 0:34:17 in human living conditions in quarantine cams. 398 0:34:20 --> 0:34:23 Children isolated from their parents. 399 0:34:26 --> 0:34:29 The risk of infection continues to be low 400 0:34:29 --> 0:34:32 in the capital city of Beijing. 401 0:34:32 --> 0:34:35 However, makeshift cams are coming up here as well. 402 0:34:35 --> 0:34:38 The Chinese people continue to suffer. 403 0:34:38 --> 0:34:41 They are made to pay for their stay in these quarantine cams 404 0:34:41 --> 0:34:44 as the government monitors health status 405 0:34:44 --> 0:34:47 digitally through Covid passports. 406 0:34:47 --> 0:34:50 This is Neha Mardani for India Today. 407 0:35:47 --> 0:35:50 I want to go out! I want to go out! 408 0:36:18 --> 0:36:21 China has accelerated its free vaccination campaign 409 0:36:21 --> 0:36:24 since late March. 410 0:36:24 --> 0:36:27 It took only six days for total Japs to climb 411 0:36:27 --> 0:36:30 from 1.2 billion to 1.3 billion. 412 0:36:30 --> 0:36:33 The deputy head of China's National Health Commission 413 0:36:33 --> 0:36:36 has said by the end of this year, 414 0:36:36 --> 0:36:39 at least 70% of the nation's target population 415 0:36:39 --> 0:36:42 is expected to be vaccinated. 416 0:36:42 --> 0:36:45 Surgeon hospital overcrowding and Sun Yan deaths 417 0:36:45 --> 0:36:48 linked to vaccine sequelae in China. 418 0:36:48 --> 0:36:51 Surgeon hospital overcrowding and Sun Yan deaths 419 0:36:51 --> 0:36:54 linked to vaccine sequelae in China. 420 0:36:54 --> 0:36:57 As a new wave of illness sweeps across China, 421 0:36:57 --> 0:37:00 major hospitals are grappling with severe overcrowding, 422 0:37:00 --> 0:37:03 raising concerns among citizens about the long-term effects 423 0:37:03 --> 0:37:06 of the mandatory Covid-19 vaccination program 424 0:37:06 --> 0:37:09 implemented during the country's three-year epidemic lockdown. 425 0:37:09 --> 0:37:12 Reports from various regions suggest a troubling rise 426 0:37:13 --> 0:37:16 in serious illnesses, terminal diseases and sudden deaths, 427 0:37:16 --> 0:37:19 many of which residents attribute to side effects 428 0:37:19 --> 0:37:22 from the vaccines enforced by the CCP. 429 0:37:22 --> 0:37:25 The current date, April 7, 2025, 430 0:37:25 --> 0:37:28 marks a critical moment as these claims gain traction, 431 0:37:28 --> 0:37:31 though official media and government sources remain silent on the issue. 432 0:37:31 --> 0:37:34 Citizens from multiple provinces have shared 433 0:37:34 --> 0:37:37 alarming accounts with NTD reporters, 434 0:37:37 --> 0:37:40 describing a pattern of deteriorating health following vaccination. 435 0:37:41 --> 0:37:44 Mr. Wang, a resident of Shuzhou in Jiangsu province, 436 0:37:44 --> 0:37:47 recounted the sudden deaths of colleagues, some as young as 50, 437 0:37:47 --> 0:37:50 who had received multiple vaccine doses. 438 0:37:50 --> 0:37:53 Yan people are getting sick, cancer, leukemia, 439 0:37:53 --> 0:37:56 cardiovascular diseases, high blood sugar, he said, 440 0:37:56 --> 0:37:59 attributing these conditions to the vaccine's side effects. 441 0:37:59 --> 0:38:02 Mr. Wang, who reluctantly took one shot under pressure 442 0:38:02 --> 0:38:05 from his employer, noted that the more doses people received, 443 0:38:05 --> 0:38:08 the worse their health seemed to become. 444 0:38:09 --> 0:38:12 He also described long queues at funeral homes, 445 0:38:12 --> 0:38:15 a phenomenon he observed both at the height of the epidemic 446 0:38:15 --> 0:38:18 and again this winter, alongside a resurgence of what he believes 447 0:38:18 --> 0:38:21 is misdiagnosed COVID-19, often labeled as influenza by doctors. 448 0:38:21 --> 0:38:24 Similar sentiments echoed from Mr. Lu in Wuxi, Jiangsu, 449 0:38:24 --> 0:38:27 who reported cases of white lung syndrome, 450 0:38:27 --> 0:38:30 a severe lung condition, and heart disease among people 451 0:38:30 --> 0:38:33 in their 20s, 30s and 40s. 452 0:38:33 --> 0:38:36 People know it's the vaccine, but the government won't admit it, 453 0:38:37 --> 0:38:40 he said, pointing to a media blackout 454 0:38:40 --> 0:38:43 and an overwhelmed funeral system. 455 0:38:43 --> 0:38:46 In Inner Mongolia's Douluin County, Mr. Zhao highlighted 456 0:38:46 --> 0:38:49 a spike in sudden deaths among young people, linking it 457 0:38:49 --> 0:38:52 to the mandatory vaccination campaign that spanned from early 2020 458 0:38:52 --> 0:38:55 to late 2022. 459 0:38:55 --> 0:38:58 After the shots, many couldn't handle heavy work anymore, 460 0:38:58 --> 0:39:01 he said, noting that acute, unusual diseases were striking 461 0:39:01 --> 0:39:04 the younger population. 462 0:39:04 --> 0:39:07 In Wuxi province, Mr. Zhang from Nanyang reported a consensus 463 0:39:07 --> 0:39:10 among neighbors and colleagues that the vaccine was to blame 464 0:39:10 --> 0:39:13 for the rising death toll, though hospital staff remained tight-lipped, 465 0:39:13 --> 0:39:16 likely under strict directives. 466 0:39:16 --> 0:39:19 Meanwhile, Mr. Minnan from Shenzhen described a cycle 467 0:39:19 --> 0:39:22 of worsening symptoms after each successive shot, 468 0:39:22 --> 0:39:25 with authorities dismissing the connection to the vaccine 469 0:39:25 --> 0:39:28 and instead attributing illnesses to the virus itself. 470 0:39:28 --> 0:39:31 They kept pushing more shots third, fourth, 471 0:39:32 --> 0:39:36 the majority of people died as a result, 472 0:39:36 --> 0:39:39 leaving the professor in charging the school board 473 0:39:46 --> 0:39:49 as a matter of tid nggak, 474 0:39:49 --> 0:39:53 Hospitals are full, top-tier ones especially, with patients showing cold-like symptoms, 475 0:39:53 --> 0:39:56 white lungs, and nodules," he said. 476 0:39:56 --> 0:40:01 Mr. Gao linked the Sinovac vaccine to cases of myocardial and cerebral infarctions among 477 0:40:01 --> 0:40:06 his neighbors, expressing frustration at the lack of transparency surrounding these deaths. 478 0:40:06 --> 0:40:15 Well, I've discussed China's population in several programs and consistently said that 479 0:40:15 --> 0:40:22 it's absolutely not the official 1.4 billion and is no more than 100 million. 480 0:40:22 --> 0:40:28 And also, I don't want to come across as sensational by making unsubstantiated claims. 481 0:40:28 --> 0:40:32 That said, a number of viewers have written to me sharing their thoughts and information 482 0:40:32 --> 0:40:34 on the matter. 483 0:40:34 --> 0:40:38 I decide to finally confront the question head on. 484 0:40:38 --> 0:40:44 China's real population is not anywhere near 100 million either. 485 0:40:44 --> 0:40:47 It's somewhere between 300 and 400 million. 486 0:40:47 --> 0:40:48 Yes, you heard that right. 487 0:40:48 --> 0:40:54 China's actual population may be only a fraction of the official 1.4 billion. 488 0:40:54 --> 0:40:59 I believe we need a two-step approach to estimate China's real population. 489 0:40:59 --> 0:41:04 First, we must rectify China's real population before the pandemic. 490 0:41:04 --> 0:41:09 And then we must determine China's real death toll during COVID. 491 0:41:09 --> 0:41:13 So first things first, what is China's population before the pandemic? 492 0:41:13 --> 0:41:14 In 2018, the Russian... 493 0:41:14 --> 0:41:15 There's no video. 494 0:41:15 --> 0:41:16 Hang on. 495 0:41:16 --> 0:41:20 ...that China's actual population may be between 500 million and 800 million. 496 0:41:20 --> 0:41:27 A Russian expert noted that China's population in 1945 during the nationalist rule was 490 497 0:41:27 --> 0:41:29 million after the communist party... 498 0:41:29 --> 0:41:30 Stop it. 499 0:41:30 --> 0:41:31 Curtis, start again. 500 0:41:31 --> 0:41:32 ...great leap forward. 501 0:41:32 --> 0:41:35 Yeah, I guess, I mean, not from the beginning, but wherever you... 502 0:41:35 --> 0:41:37 I don't know what's causing it. 503 0:41:37 --> 0:41:39 Whatever you can try, feel free. 504 0:41:39 --> 0:41:40 Okay, there it is. 505 0:41:40 --> 0:41:41 Right. 506 0:41:41 --> 0:41:45 ...followed by decades under the one-child policy, it's impossible that China's population 507 0:41:45 --> 0:41:48 surged to 1.4 billion. 508 0:41:48 --> 0:41:53 Other Russian experts added up the publicly available urban population of every Chinese 509 0:41:53 --> 0:41:58 city and county and got only 280 million people. 510 0:41:58 --> 0:42:07 And based on the traditional urban-rural population ratio of one to one, they estimated China's 511 0:42:07 --> 0:42:11 actual population being around 560 million. 512 0:42:11 --> 0:42:17 Even considering China's unique circumstances, they say that the population should not exceed 513 0:42:17 --> 0:42:18 800 million. 514 0:42:18 --> 0:42:24 So and then Japanese scholars have done research based on China's table salt consumption, arable 515 0:42:24 --> 0:42:30 land and international grain purchases and concluded that China's real population was 516 0:42:30 --> 0:42:33 between 800 and 900 million. 517 0:42:33 --> 0:42:41 In my December 14th, 2024 program, which was cut based on my October 8th live stream, 518 0:42:41 --> 0:42:49 I showed you China's real population before the pandemic was between 695 million to 890 519 0:42:49 --> 0:42:50 million. 520 0:42:50 --> 0:42:52 My logic was straightforward. 521 0:42:52 --> 0:42:59 It is that, well, 35 years ago, China and India's population was only 270 million people 522 0:42:59 --> 0:43:00 apart. 523 0:43:00 --> 0:43:07 In 1990, India had 870 million people while China had a population of 1.1 billion. 524 0:43:07 --> 0:43:11 In the next 30 years, India's fertility rate averaged three. 525 0:43:11 --> 0:43:18 That means every woman on average gives birth or gave birth during that 30 years to three 526 0:43:18 --> 0:43:25 children while China's official fertility rate was only half of India's at 1.7. 527 0:43:25 --> 0:43:30 Therefore, mathematically, it's impossible that India, a much younger country with a 528 0:43:30 --> 0:43:39 double the fertility, still has a smaller population than China does in a span of 30 529 0:43:39 --> 0:43:40 years. 530 0:43:40 --> 0:43:47 So using AI and official CCP fertility rate, I came up with 890 million Chinese population 531 0:43:47 --> 0:43:49 for the year 2020. 532 0:43:49 --> 0:43:58 However, if I use Dr. Yi Fu-hsien, a renowned expert on Chinese demographics, if I used 533 0:43:58 --> 0:44:06 his fertility rates, China's population in 2020 before the pandemic was only 695 million. 534 0:44:06 --> 0:44:12 So you see my calculation, the studies conducted by the Russians and the Japanese overwhelmingly 535 0:44:12 --> 0:44:20 point China's population before the pandemic at somewhere between 600 million and 800 million 536 0:44:20 --> 0:44:22 or 900 million. 537 0:44:22 --> 0:44:23 But it's around 800 million. 538 0:44:23 --> 0:44:27 And there's another expert who agrees with our number. 539 0:44:27 --> 0:44:33 A Chinese YouTuber by the name of Li Mu-yang, who has one million subscribers, disclosed 540 0:44:33 --> 0:44:39 in his March 1st and March 8th programs information he received from one of his fans. 541 0:44:39 --> 0:44:46 This fan has been working for the WHO for decades and does data collection and analytic 542 0:44:46 --> 0:44:47 work. 543 0:44:47 --> 0:44:50 He has been studying China's population for a while. 544 0:44:50 --> 0:44:59 And in 2020-2021, this fan of Mr. Li tried to repeat the Russian study by adding up all 545 0:44:59 --> 0:45:03 official population data at local levels. 546 0:45:03 --> 0:45:08 But he wasn't able to do so because many of the local governments had stopped releasing 547 0:45:08 --> 0:45:13 demographic data and some even fabricated the information. 548 0:45:13 --> 0:45:16 So he wasn't able to finish his study. 549 0:45:16 --> 0:45:21 But he concluded that China's population before the pandemic was 750 million. 550 0:45:21 --> 0:45:22 Do I agree with this number? 551 0:45:22 --> 0:45:24 Well, I think it's logical. 552 0:45:24 --> 0:45:30 My estimation of China's population before the pandemic, according to my AI model, was 553 0:45:30 --> 0:45:34 between 700 million to almost 900 million. 554 0:45:34 --> 0:45:36 So I like to be conservative. 555 0:45:36 --> 0:45:43 I would say China's population before the pandemic was 800 million. 556 0:45:43 --> 0:45:44 All right. 557 0:45:44 --> 0:45:46 So we answer the first question. 558 0:45:46 --> 0:45:49 The next question is how many people died from COVID? 559 0:45:49 --> 0:45:55 Now the person who works for WHO also did his estimates. 560 0:45:55 --> 0:46:02 And he said, and this is what he wrote, as of now, China's population is between 310 561 0:46:02 --> 0:46:04 to 320 million. 562 0:46:04 --> 0:46:13 He derived at this number based on his calculation of a 430 million COVID death toll. 563 0:46:13 --> 0:46:14 And how did he get his calculation? 564 0:46:14 --> 0:46:16 Okay, let me tell you. 565 0:46:16 --> 0:46:17 This is his math. 566 0:46:17 --> 0:46:23 He said, before the pandemic, Chinese Ministry of Civil Affairs said that on average 10 million 567 0:46:23 --> 0:46:30 people die every year with the winter months serving the highest fatalities at about 1 568 0:46:30 --> 0:46:32 million per month. 569 0:46:32 --> 0:46:38 And according to people who work in the Chinese funeral industry, their workload grew 8 to 570 0:46:38 --> 0:46:40 10 times during COVID. 571 0:46:40 --> 0:46:46 Now this growth, however, does not include people who died in the countryside and were 572 0:46:46 --> 0:46:49 buried by their family locally. 573 0:46:49 --> 0:46:56 So this 8 to 10 times 10-fold growth does not include the spillover death that were 574 0:46:56 --> 0:47:01 absorbed in the countryside through the local burials. 575 0:47:01 --> 0:47:06 Based on his calculation, now considering all facts, he said China's monthly deaths 576 0:47:06 --> 0:47:13 during COVID has been on average 7 million per month for the first three years from early 577 0:47:13 --> 0:47:23 2020 to the end of 2022 before zero COVID abruptly ended. 578 0:47:23 --> 0:47:29 So if you do the math, that's 252 million people who died in the first three years of 579 0:47:29 --> 0:47:30 COVID. 580 0:47:31 --> 0:47:36 And then after the lockdown ended at the end of 2022, China experienced an upsurge in COVID-related 581 0:47:36 --> 0:47:42 fatalities from the end of 2022 to early months of 2023. 582 0:47:42 --> 0:47:47 And he estimated another 120 million Chinese died during that period. 583 0:47:47 --> 0:47:52 And his number is based on some internal data from Beijing's police department. 584 0:47:52 --> 0:48:02 So in January of 2023, at least 8,000 to 10,000 people died daily in hospitals in Beijing. 585 0:48:02 --> 0:48:10 And this didn't include people who died at home, in hotels, schools, or other dormitories. 586 0:48:10 --> 0:48:14 You know, a lot of Chinese live in work-provided dormitories. 587 0:48:14 --> 0:48:19 And the same number in Tianjin was 5,000 deaths daily in hospitals. 588 0:48:19 --> 0:48:25 Now, China has over 2,000 cities and counties of various sizes. 589 0:48:25 --> 0:48:33 So he calculated 120 million total fatalities across China in those months. 590 0:48:33 --> 0:48:39 And then on top of that, he said an additional 50 million deaths should be added to the early 591 0:48:39 --> 0:48:45 months of COVID in 2020 to account for the initial surge in death. 592 0:48:45 --> 0:48:52 So if you add them up, that's 222 million total deaths from the beginning of 2020 to 593 0:48:52 --> 0:48:56 the end of the surge in 2023. 594 0:48:56 --> 0:49:01 And so when we deduct the 422 million from the 750 million, that's his number, that's 595 0:49:01 --> 0:49:09 where he got his estimate of China's population being at a little over 300 million right now. 596 0:49:10 --> 0:49:15 Now, this is the first time that someone actually attempted to calculate total COVID death in 597 0:49:15 --> 0:49:17 recent years. 598 0:49:17 --> 0:49:22 I cannot dispute his numbers, but I think there's a piece that he missed. 599 0:49:22 --> 0:49:28 That is, his death, his 422 million deaths only covers from the beginning of the pandemic 600 0:49:28 --> 0:49:31 to the early months of 2023. 601 0:49:31 --> 0:49:38 As of now, or in 2024 and 2025, people are still dying. 602 0:49:39 --> 0:49:46 So the total number of casualties may be more than his 422 million and may even reach 500 million. 603 0:49:46 --> 0:49:52 Now, this 500 million matches with what the founder of the spiritual practice, Falun Gong, 604 0:49:52 --> 0:49:59 who said in early 2023 that 400 million Chinese had died in the pandemic and another 100 million 605 0:49:59 --> 0:50:02 would die until the end of the pandemic. 606 0:50:02 --> 0:50:05 So what is my estimation? 607 0:50:05 --> 0:50:11 My estimate of Chinese population right now is somewhere between 300 million and 400 million. 608 0:50:11 --> 0:50:16 400 million is on the conservative side and 300 million is an aggressive estimate. 609 0:50:16 --> 0:50:21 It's based on China having 800 million people before the pandemic and having lost between 610 0:50:21 --> 0:50:25 400 to 500 million people so far. 611 0:50:25 --> 0:50:31 Now, yesterday, one of my long-term viewers wrote to me, he said one of his connections 612 0:50:31 --> 0:50:35 from Japan told him something very interesting that he wants to share with me. 613 0:50:35 --> 0:50:41 His contact in Japan is a man of honorable character and is well connected to Japanese 614 0:50:41 --> 0:50:44 businesses in the salt industry. 615 0:50:44 --> 0:50:51 And this Japanese contact told my viewer that on the whole, Japan is now selling only one 616 0:50:51 --> 0:50:57 half of the salt to China that it did only a few years ago. 617 0:50:57 --> 0:51:02 So what do you suppose that may imply about the real Chinese population? 618 0:51:02 --> 0:51:09 This indirectly confirms that China's population is about half of what it was before the pandemic. 619 0:51:09 --> 0:51:15 It indirectly supports my estimate that the population was 800 million before the pandemic 620 0:51:15 --> 0:51:18 and is now somewhere around 400 million. 621 0:51:18 --> 0:51:19 It's cutting half. 622 0:51:27 --> 0:51:42 Well, how about that everybody? 623 0:51:42 --> 0:51:45 Great job, Curtis, putting that together. 624 0:51:45 --> 0:51:48 Shocking scenes in it. 625 0:51:48 --> 0:51:51 It was great to see the second time. 626 0:51:51 --> 0:51:53 It's quite mind-numbing the first time. 627 0:51:53 --> 0:51:57 So I got some further insights from it. 628 0:51:57 --> 0:51:59 Great work, lots of work. 629 0:51:59 --> 0:52:02 All right. 630 0:52:02 --> 0:52:05 Anything you want to add before we go to Stephen for his questions? 631 0:52:05 --> 0:52:08 We've got two hands up already, but Stephen starts with the questions. 632 0:52:08 --> 0:52:09 Curtis, any thoughts? 633 0:52:09 --> 0:52:12 No, we can go into the questions. 634 0:52:12 --> 0:52:13 That's fine. 635 0:52:13 --> 0:52:14 Well done. 636 0:52:14 --> 0:52:19 All right, Chris, Stephen, are you there? 637 0:52:19 --> 0:52:21 Yeah, I'm here. 638 0:52:21 --> 0:52:26 So Curtis, I've got a pretty good understanding of figures, as I told you on the call last 639 0:52:26 --> 0:52:27 night. 640 0:52:27 --> 0:52:32 And I don't think you can lose 400 million people in China, which is about the size of 641 0:52:32 --> 0:52:34 the United States. 642 0:52:34 --> 0:52:39 So it's a big country and it's got a massive population, allegedly. 643 0:52:39 --> 0:52:43 But also I wasn't very impressed with Lei at the end. 644 0:52:43 --> 0:52:48 So it seems to me that these people are not only claiming that 400 million people have 645 0:52:48 --> 0:52:57 died during the Covid years, three years, as I understand it, but also they claim that 646 0:52:57 --> 0:53:00 the population figures were wrong originally. 647 0:53:00 --> 0:53:03 So they claim two things and they're mixing it all up. 648 0:53:03 --> 0:53:10 And I didn't like the way she was talking there and the way she was kind of using her 649 0:53:10 --> 0:53:11 logic. 650 0:53:11 --> 0:53:12 It sounded like Chinese logic to me. 651 0:53:12 --> 0:53:14 But anyway, that's my opinion. 652 0:53:14 --> 0:53:22 And I would look, the thing that interests me is that I think anything's possible in 653 0:53:22 --> 0:53:23 China. 654 0:53:23 --> 0:53:28 You know, we've got three genocides, massive genocides that we know about. 655 0:53:28 --> 0:53:34 The Great March of Mao in 1949, I think it was. 656 0:53:34 --> 0:53:41 And then the Great Leap Forward 1958 to 1962, I think it was, when 55 million died, the 657 0:53:42 --> 0:53:46 biggest genocide in the history of the world, allegedly. 658 0:53:46 --> 0:53:48 And that was very weird when you read about it. 659 0:53:48 --> 0:53:53 And then you've got the Great Cultural Revolution from 1966 to 1976. 660 0:53:53 --> 0:54:01 So they have history of three huge genocides and so of their own people. 661 0:54:01 --> 0:54:03 So they're capable of anything. 662 0:54:03 --> 0:54:11 And the lockdowns in Shanghai and Peking, Beijing were very disturbing. 663 0:54:11 --> 0:54:16 Those white hazmat suits, you know, this is a weird country, in my opinion. 664 0:54:16 --> 0:54:20 I think China is the obvious enemy at the moment. 665 0:54:20 --> 0:54:24 It's got a totalitarian regime. 666 0:54:24 --> 0:54:26 They've got totalitarianism there. 667 0:54:26 --> 0:54:33 People say, oh, yeah, but, you know, kind of apologists for China, Western apologists 668 0:54:33 --> 0:54:38 who've done business there, they say that, you know, it's much better when you go there, 669 0:54:38 --> 0:54:39 much better than you think. 670 0:54:39 --> 0:54:41 No, I don't think I haven't been there. 671 0:54:42 --> 0:54:45 I know I should go there, but I don't want to go there because. 672 0:54:46 --> 0:54:53 But having said that, I have seen a film of a very seasoned traveler on YouTube videos, 673 0:54:53 --> 0:54:58 you know, going around India and then he crosses the border into China and clearly doesn't 674 0:54:58 --> 0:55:03 know what the heck's going on with all the tech and all the, you know, booking of hotels 675 0:55:03 --> 0:55:06 and he making he's making excuses for it, too. 676 0:55:06 --> 0:55:07 I haven't actually followed up. 677 0:55:07 --> 0:55:13 I would like to look at his videos within China, but it looked very, very dystopian 678 0:55:13 --> 0:55:14 to me at the beginning. 679 0:55:15 --> 0:55:18 So I don't know whether you've got any comments on that, Curtis. 680 0:55:18 --> 0:55:20 I'm not saying that you're wrong. 681 0:55:20 --> 0:55:22 I think you're right to raise questions. 682 0:55:22 --> 0:55:23 What the heck's going on here? 683 0:55:23 --> 0:55:25 What the heck was that stuff that was spraying everywhere? 684 0:55:26 --> 0:55:27 Well, we don't know it was everywhere. 685 0:55:27 --> 0:55:32 I do. So it could have been in a Chinese film set for all we know. 686 0:55:34 --> 0:55:36 OK. Well, I will say this. 687 0:55:37 --> 0:55:42 What I think is most important is not that we agree right now with the correct number 688 0:55:42 --> 0:55:50 is, but the videos alone show that people were being poisoned and placed in situations 689 0:55:50 --> 0:55:53 guaranteed to kill large numbers of people. 690 0:55:53 --> 0:55:56 I mean, they were supposedly spraying disinfectants. 691 0:55:56 --> 0:55:59 If you look at these disinfectants, those are poisons. 692 0:56:00 --> 0:56:01 They should never be breathed in. 693 0:56:01 --> 0:56:03 They should never be applied to the skin. 694 0:56:03 --> 0:56:06 Yet they were spraying this on people everywhere. 695 0:56:06 --> 0:56:08 That's what that section was. 696 0:56:08 --> 0:56:13 I know it was long, but I want to drive home the fact that they were spraying people 697 0:56:13 --> 0:56:17 again and again and again with these disinfectants. 698 0:56:17 --> 0:56:19 We don't know what the chemicals really were. 699 0:56:19 --> 0:56:20 It could be far worse. 700 0:56:20 --> 0:56:25 But you spray with disinfectants like that, that's enough to kill you. 701 0:56:25 --> 0:56:29 It's enough to have all types of lung damage and other things. 702 0:56:29 --> 0:56:31 So we don't know. 703 0:56:31 --> 0:56:33 We don't know they were spraying them again and again. 704 0:56:33 --> 0:56:37 We know that they were spraying them on those videos we've seen. 705 0:56:38 --> 0:56:43 Well, what I read, they was they would be spraying the same area multiple times. 706 0:56:45 --> 0:56:47 It wasn't like one time the trucks are gone. 707 0:56:47 --> 0:56:50 From what I've read, it was multiple sprayings. 708 0:56:50 --> 0:56:55 And so, I mean, if you come up with research saying something different, that's great. 709 0:56:55 --> 0:56:56 But that's what I've read. 710 0:56:57 --> 0:57:01 And, yeah, they they were they were doing this, 711 0:57:01 --> 0:57:06 irregardless of whether they were spraying pregnant women, babies 712 0:57:06 --> 0:57:10 or elderly people, respiratory problems, they did not care. 713 0:57:10 --> 0:57:12 It was clearly designed. 714 0:57:12 --> 0:57:14 Well, I would say to kill. 715 0:57:14 --> 0:57:15 I'm not sure what else you could say. 716 0:57:15 --> 0:57:19 So I points a gun at your head and pulls the trigger. 717 0:57:19 --> 0:57:21 I mean, what do you say? 718 0:57:22 --> 0:57:25 I mean, it's pretty obvious, but everybody has their own conclusions. 719 0:57:26 --> 0:57:30 On top of that, the crematoriums were overrun. 720 0:57:31 --> 0:57:35 I mean, they the crematoriums at one point were running, 721 0:57:35 --> 0:57:37 operating on like an eight hour a day. 722 0:57:38 --> 0:57:44 But during this time period, that increased up to 24 hours a day, seven days a week. 723 0:57:44 --> 0:57:46 There was so many people dying. 724 0:57:46 --> 0:57:48 And even then, they couldn't keep up. 725 0:57:48 --> 0:57:52 They started building more and more crematoriums, thousands. 726 0:57:52 --> 0:57:56 And the government, Chinese government, they started 727 0:57:57 --> 0:58:01 not releasing the exact numbers of how many of these crematoriums. 728 0:58:02 --> 0:58:08 I saw one researcher, the analysis of the crematoriums that we know of, 729 0:58:08 --> 0:58:09 thousands of them. 730 0:58:09 --> 0:58:13 And he estimated, you know, if you're these things are running 731 0:58:14 --> 0:58:16 24 a day, seven days a week. 732 0:58:17 --> 0:58:19 And they were actually no longer just 733 0:58:20 --> 0:58:21 cremating one body at a time. 734 0:58:21 --> 0:58:23 It was multiple bodies. 735 0:58:23 --> 0:58:24 They were doing yes. 736 0:58:24 --> 0:58:30 Yeah, we could arrive at a number like 400 million people, 737 0:58:30 --> 0:58:34 given the level of which they were incinerating people. 738 0:58:34 --> 0:58:40 Let's not even to include all the families who just buried their 739 0:58:41 --> 0:58:43 deceased family member on their own. 740 0:58:43 --> 0:58:48 I mean, many could not afford funerals and the funeral homes are all overrun. 741 0:58:48 --> 0:58:52 And they were just burying them wherever they could. 742 0:58:53 --> 0:58:55 It's hard to know exactly what the right number is. 743 0:58:55 --> 0:59:00 But the approach of this researcher, I think she was doing the best she can. 744 0:59:00 --> 0:59:06 And the other researchers in China, I'm sorry, in Russia and Japan. 745 0:59:07 --> 0:59:10 But the fact that they could not trust the CCP, 746 0:59:10 --> 0:59:12 I think it's well established by looking at this. 747 0:59:12 --> 0:59:16 You can't trust the information coming from the CCP. 748 0:59:16 --> 0:59:20 So you have to look in direct methods like the Chinese. 749 0:59:20 --> 0:59:23 Researchers looked at salt consumption. 750 0:59:23 --> 0:59:27 I mean, if you know how much a group of people normally consume, 751 0:59:28 --> 0:59:30 you can estimate how many people there are. 752 0:59:30 --> 0:59:34 And the salt consumption numbers showed that there was 753 0:59:34 --> 0:59:37 a massive decrease in the population. 754 0:59:38 --> 0:59:41 Others looked at the Russians, looked at the 755 0:59:42 --> 0:59:45 at the various cities and counties that when the numbers were 756 0:59:45 --> 0:59:50 public and added up the numbers and they came up with these 757 0:59:50 --> 0:59:54 frightening numbers showing that there was a dramatic decrease in the population 758 0:59:54 --> 0:59:56 in in China. 759 0:59:56 --> 0:59:59 And all the sources he cited 760 1:00:00 --> 1:00:02 pointed to the fact that prior to 761 1:00:04 --> 1:00:06 the advent of COVID, like in 2019, 762 1:00:07 --> 1:00:12 that we're looking at somewhere between six hundred million to 763 1:00:12 --> 1:00:14 nine hundred million people. 764 1:00:14 --> 1:00:16 If you round it off, I mean, well, 765 1:00:16 --> 1:00:19 she averaged it out, came out to around eight hundred million. 766 1:00:19 --> 1:00:22 That's why she stuck with that number. 767 1:00:22 --> 1:00:25 So they were doing the best they can with the information that's available. 768 1:00:25 --> 1:00:29 This is not like fully available information 769 1:00:29 --> 1:00:32 with an open government. There's nothing to hide. 770 1:00:32 --> 1:00:34 I mean, they're doing their best to cover things up. 771 1:00:34 --> 1:00:38 So they're doing the best they can with the numbers that they do have. 772 1:00:39 --> 1:00:43 And in terms of what is the correct number? 773 1:00:43 --> 1:00:45 I mean, I don't know, but I have confirmed 774 1:00:47 --> 1:00:48 several other sources. 775 1:00:48 --> 1:00:50 I'm going to put out a second video 776 1:00:50 --> 1:00:54 sources that go to even greater detail, far greater detail than what she did 777 1:00:56 --> 1:00:58 on each of the points that she made. 778 1:00:58 --> 1:01:01 And they conclude the number four hundred million. 779 1:01:01 --> 1:01:03 And you can start looking enough for yourself, and I'm going to put out a video. 780 1:01:04 --> 1:01:08 So several independent researchers have drawn a conclusion that, yes, 781 1:01:08 --> 1:01:12 about four hundred million Chinese have died. 782 1:01:12 --> 1:01:15 Now, I'm not tied to any particular number. 783 1:01:15 --> 1:01:19 And my whole point of putting this out there is to encourage people 784 1:01:19 --> 1:01:22 like those in this in this audience to do their own research, 785 1:01:23 --> 1:01:24 draw their own conclusion. 786 1:01:24 --> 1:01:27 But I think we can agree that something really bad 787 1:01:27 --> 1:01:31 that's happened in China in the past few years with the poisoning of the people, 788 1:01:32 --> 1:01:34 putting people, locking people in their building, 789 1:01:34 --> 1:01:39 literally were welding buildings, giant buildings with hundreds 790 1:01:39 --> 1:01:42 and even thousands of people as the welding the doors shut 791 1:01:43 --> 1:01:45 so they could not get out for food or water. 792 1:01:46 --> 1:01:51 Now, that does sound like a caring government who wants people to thrive. 793 1:01:52 --> 1:01:55 That's how I might say, right? Yeah. 794 1:01:55 --> 1:01:58 The intention seems that they were meant to die. 795 1:01:59 --> 1:02:00 And that's why you saw all those. 796 1:02:00 --> 1:02:02 And I harp on that a little bit. 797 1:02:02 --> 1:02:04 All those people in Shanghai screaming. 798 1:02:05 --> 1:02:08 I mean, what would we do if we're locked in our building? 799 1:02:08 --> 1:02:11 Can't go to to get for a fact. 800 1:02:11 --> 1:02:13 The supermarkets were actually closed. 801 1:02:13 --> 1:02:14 So people were trapped. 802 1:02:14 --> 1:02:18 And you imagine the psychological trauma of being raised 803 1:02:18 --> 1:02:21 to believe in your government, the CCP. 804 1:02:22 --> 1:02:24 And then you see them literally starving you. 805 1:02:25 --> 1:02:28 No supermarkets are closed and you can't leave your building. 806 1:02:28 --> 1:02:30 Doesn't matter if you want water, food, too bad. 807 1:02:31 --> 1:02:32 He imagined a trauma. 808 1:02:32 --> 1:02:33 That's what he said. 809 1:02:33 --> 1:02:36 A number of people were going insane and suicide. 810 1:02:36 --> 1:02:39 We're taking place and show you how bad it is. 811 1:02:39 --> 1:02:44 It makes you wonder about the motivation of the government is that buildings on fire. 812 1:02:45 --> 1:02:50 Well, the fire, the fire people could not go inside the building, 813 1:02:51 --> 1:02:55 nor could people who are in this burning building leave because of the COVID restrictions. 814 1:02:55 --> 1:03:00 So they rather have their own people burn and let them out of the building. 815 1:03:01 --> 1:03:04 And they said they encountered a few like 10 deaths. 816 1:03:05 --> 1:03:08 The reporter mentioned that doesn't like a government that's really caring. 817 1:03:08 --> 1:03:13 That's something like a government that, you know, you have to wonder about the motivations 818 1:03:14 --> 1:03:16 they have. But I will throw a question to you. 819 1:03:18 --> 1:03:22 The four million. OK, maybe that's that's not the right number. 820 1:03:22 --> 1:03:27 Based on what you've seen so far or whatever other research you may have had time to do, 821 1:03:27 --> 1:03:33 what would your guess be as the correct or more correct number of how many people may have died? 822 1:03:35 --> 1:03:40 Well, so I said last night, if only a million people had died, that would be a big story. 823 1:03:40 --> 1:03:47 So the million is possible, you know, with those dreadful lockdowns in Shanghai and Beijing. 824 1:03:47 --> 1:03:52 But I don't think that's that video, the clips you've assembled there. 825 1:03:53 --> 1:03:55 I don't think that really proves anything. 826 1:03:55 --> 1:03:58 So but but, you know, the stories, if that. 827 1:03:59 --> 1:04:02 Yeah, so we kind of operate on stories. 828 1:04:02 --> 1:04:05 I mean, the press, you know, if it's telling the truth, tell stories. 829 1:04:05 --> 1:04:08 That's how human beings like to learn. 830 1:04:08 --> 1:04:15 And so the stories are important because they are kind of, how shall I say, testimony from 831 1:04:15 --> 1:04:20 hopefully honest human beings and who want to tell the truth. 832 1:04:20 --> 1:04:23 And and so I think those are important. 833 1:04:23 --> 1:04:26 But I haven't seen all this. But, you know, I was very disturbed. 834 1:04:26 --> 1:04:31 But, you know, there was talk that they were the people who were the people who were 835 1:04:32 --> 1:04:36 the videos weren't authentic of what was happening in China. 836 1:04:36 --> 1:04:38 You know, the screaming from the buildings. 837 1:04:38 --> 1:04:41 We could see that in 2022, I think it was. 838 1:04:42 --> 1:04:45 And I wondered what were they putting that out? 839 1:04:45 --> 1:04:49 You know, what was China's role in the last five years? 840 1:04:49 --> 1:04:54 Was it to tell people, you know, human beings around the world that, you know, 841 1:04:54 --> 1:04:57 you may be scared now, but this is what's coming in the future. 842 1:04:57 --> 1:05:00 You know, the Chinese style lockdown. 843 1:05:01 --> 1:05:03 With with the crazy. 844 1:05:05 --> 1:05:07 Camps, you know. 845 1:05:07 --> 1:05:10 But anyway, because it's. 846 1:05:10 --> 1:05:16 So should we get the questions from Mandish and Zahriyeel, Sebastian and Ellen, 847 1:05:16 --> 1:05:18 I think it is, but just. 848 1:05:18 --> 1:05:21 Yep. We we can talk about 849 1:05:21 --> 1:05:27 how R.F.K. Junior is getting on in the American administration after the questions, obviously. 850 1:05:28 --> 1:05:29 Very good. Thank you, Stephen. 851 1:05:29 --> 1:05:31 All right, Sebastian. 852 1:05:32 --> 1:05:34 You're first, buddy. 853 1:05:39 --> 1:05:40 He's gone to. 854 1:05:41 --> 1:05:43 OK, we'll go to we'll go to Anders. 855 1:05:45 --> 1:05:46 Anders, you're up. 856 1:05:47 --> 1:05:50 Very good. Very interesting presentation. 857 1:05:52 --> 1:05:57 I cannot validate more than I can. 858 1:05:57 --> 1:06:02 More than I can actually know or do myself. 859 1:06:02 --> 1:06:07 So I want you to know that I've been about 15 times in China, 860 1:06:08 --> 1:06:16 starting in 2007, Shandong, Shanghai, Beijing, Hong Kong, Guangzhou. 861 1:06:18 --> 1:06:21 And I've been about seven times in India 862 1:06:22 --> 1:06:26 and I can see these big cities in China. 863 1:06:26 --> 1:06:30 And I can see it in India and I can kind of see, 864 1:06:31 --> 1:06:34 let's say, how much more people I see in India. 865 1:06:36 --> 1:06:39 But let's say if you go to my first big visit, 866 1:06:39 --> 1:06:43 which was Shandong, Qingdao in 2007, 867 1:06:45 --> 1:06:48 it was a really big population area. 868 1:06:48 --> 1:06:54 And I don't recall exactly, but let's say 110, 120 million people 869 1:06:55 --> 1:06:59 in just one county, Shandong. 870 1:07:00 --> 1:07:02 And it was a lot of people there. 871 1:07:03 --> 1:07:09 And so and obviously Shanghai and Beijing had a lot more 872 1:07:10 --> 1:07:11 Shenzhen. 873 1:07:12 --> 1:07:16 These places are really densely populated. 874 1:07:16 --> 1:07:21 You know, I may know maybe two, three hundred Chinese people. 875 1:07:21 --> 1:07:24 And I have Norwegian and Western friends there. 876 1:07:26 --> 1:07:33 And I have not daily contact, 877 1:07:33 --> 1:07:36 but I have contact because I've been traveling so much. 878 1:07:37 --> 1:07:46 And people I know there and they live there. 879 1:07:47 --> 1:07:49 And these are PhD doctors. 880 1:07:49 --> 1:07:54 These are, let's say, different types of people and 881 1:07:55 --> 1:07:56 they're businessmen. 882 1:07:56 --> 1:07:58 They are different types of people. 883 1:07:58 --> 1:08:02 And I struggled 884 1:08:04 --> 1:08:08 with this data out of my, 885 1:08:08 --> 1:08:14 not just my own recollection of what I've seen, but also what people have told me 886 1:08:15 --> 1:08:18 in recent weeks, months. 887 1:08:19 --> 1:08:23 And I know it was a really terrible situation there. 888 1:08:24 --> 1:08:26 And I know a lot of people died. 889 1:08:28 --> 1:08:31 But I, 890 1:08:33 --> 1:08:35 I'm not able to believe 891 1:08:36 --> 1:08:38 that the population has declined. 892 1:08:38 --> 1:08:41 Let's say it was 893 1:08:41 --> 1:08:46 about 800 or 900 million people in 1980. 894 1:08:46 --> 1:08:49 And then they introduced the one child policy. 895 1:08:51 --> 1:08:59 And obviously, that caused a reduction in the new born. 896 1:09:00 --> 1:09:02 But it was corruption. 897 1:09:02 --> 1:09:08 So people would pay and a lot of people could have two or three or organize somehow. 898 1:09:09 --> 1:09:14 But I think maybe it didn't pass a billion. 899 1:09:14 --> 1:09:15 I don't know. 900 1:09:15 --> 1:09:16 But I would say 901 1:09:19 --> 1:09:23 this movie you presented looks very alarming. 902 1:09:23 --> 1:09:27 And it is a lot of it linked to the lockdowns. 903 1:09:27 --> 1:09:29 And it was quite bad. 904 1:09:29 --> 1:09:36 And I can tell how I, my last two, three trips in Shenzhen and Guangzhou, 905 1:09:37 --> 1:09:39 about 2017, 18. 906 1:09:40 --> 1:09:42 About 2017, 18. 907 1:09:44 --> 1:09:51 The spraying in the air started 2015, 16, 17. 908 1:09:52 --> 1:09:56 And they were doing it rather massively. 909 1:09:56 --> 1:10:01 And I was concerned because I couldn't see insects. 910 1:10:01 --> 1:10:02 I couldn't see birds. 911 1:10:02 --> 1:10:07 And I asked people, I had a driver who was taking me around. 912 1:10:07 --> 1:10:11 And I asked him, so so so what about the birds, James? 913 1:10:11 --> 1:10:11 Where are the birds? 914 1:10:11 --> 1:10:12 He was from Hong Kong. 915 1:10:14 --> 1:10:18 And he said to me, smiling, oh, we like birds, meaning they were eating them. 916 1:10:18 --> 1:10:28 But I mean, the birds and insect, they were dying because of the spraying already in 2016, 17, 18. 917 1:10:29 --> 1:10:36 So so this type of disregard for you, let's say nature was going on. 918 1:10:36 --> 1:10:40 And then you got the covid and most likely they did it very bad. 919 1:10:41 --> 1:10:49 But the type of apocalyptic scenario you presented here. 920 1:10:50 --> 1:10:58 And, you know, I, I have friends living in China and these are Norwegian and these are British. 921 1:10:58 --> 1:11:00 These are others. 922 1:11:00 --> 1:11:06 And I, I don't think they would keep that a secret. 923 1:11:08 --> 1:11:15 And I don't think also that, let's say it was a reduction of and people died. 924 1:11:16 --> 1:11:20 People started to die a lot in Wuhan and other places. 925 1:11:20 --> 1:11:23 If you really followed what happened in China. 926 1:11:24 --> 1:11:30 It started in October, November in Wuhan when they put on 10,000 5G antennas. 927 1:11:30 --> 1:11:31 Hang on, hang on. 928 1:11:33 --> 1:11:34 This is Q&A. 929 1:11:34 --> 1:11:37 This is not this is not a speech. 930 1:11:37 --> 1:11:42 So so I would ask, are you aware of that? 931 1:11:43 --> 1:11:54 And these waves of death or infection or claim covid was correlated to the timing of the launch of 5G 932 1:11:54 --> 1:12:05 throughout the country and the lockdowns were mostly severe in Shanghai, linked to political differences 933 1:12:05 --> 1:12:15 between the Qi and the business oligarchs in Shanghai who really opposed Qi. 934 1:12:15 --> 1:12:20 So there is a political fight, part of the process which you need to consider. 935 1:12:22 --> 1:12:29 Yeah, I'm aware of the heavy use of 5G, especially in Wuhan. 936 1:12:29 --> 1:12:34 I think they have more 5G towers than anyplace else in the world concentrated. 937 1:12:34 --> 1:12:37 And obviously that was not going to be good for the people there. 938 1:12:37 --> 1:12:39 And yes, there was a lot of protests and everything else. 939 1:12:40 --> 1:12:45 But amazingly, shortly thereafter, all the protests ended. 940 1:12:46 --> 1:12:47 It was just quiet. 941 1:12:47 --> 1:12:52 And I think that a lot of people died as a result. 942 1:12:52 --> 1:12:55 In fact, I read one report online. 943 1:12:55 --> 1:12:56 This was a while ago. 944 1:12:56 --> 1:13:07 And they were talking about radar imaging and showing that there was this cloud of funny looking gas over Wuhan. 945 1:13:08 --> 1:13:15 And the research was arguing that that was the massive cremation of people that was causing that. 946 1:13:15 --> 1:13:19 And so, yeah, 5G, yes, is bad. 947 1:13:19 --> 1:13:24 And yes, they did use it and it probably did cause a great deal of deaths. 948 1:13:24 --> 1:13:33 But at the same time, all that pesticide disinfectants that they were spraying on people, you saw it. 949 1:13:33 --> 1:13:39 I mean, people locked in their apartment, they can't breathe other than all that stuff coming into their apartments and their homes. 950 1:13:40 --> 1:13:43 The implications are just horrific. 951 1:13:43 --> 1:13:50 And I'm very much aware of this, not just because of my research recently on China. 952 1:13:50 --> 1:13:57 I was involved in the whole movement in New York to stop the pesticides spraying in New York City. 953 1:13:58 --> 1:14:08 Back in the 90s, they were spraying people with malathion and other pesticides, supposedly to kill some West Nile virus. 954 1:14:08 --> 1:14:10 But you do the research. 955 1:14:11 --> 1:14:14 West Nile was very minor condition. 956 1:14:14 --> 1:14:15 Most people would not get it. 957 1:14:16 --> 1:14:20 Most mosquitoes would bite squirrels and other things. 958 1:14:20 --> 1:14:25 The risk of anybody even noticing that they had any kind of symptoms was very little. 959 1:14:25 --> 1:14:32 But they used the West Nile excuse to justify spraying people massively. 960 1:14:32 --> 1:14:36 And this wasn't just in poor black, volunteer neighbors. 961 1:14:36 --> 1:14:44 They was spraying these pesticides up and down the streets of Fifth Avenue, Park Avenue, all the affluent sections of Manhattan and New York. 962 1:14:44 --> 1:14:45 They did not care. 963 1:14:46 --> 1:14:48 We were all being treated like insects. 964 1:14:49 --> 1:14:54 And so we ended up, I came up with a name for the group too, the No Spray Coalition. 965 1:14:54 --> 1:15:00 We got a lawyer funding and we sued New York City. 966 1:15:00 --> 1:15:06 It took years, but we won the lawsuit and the city had to stop the spraying. 967 1:15:07 --> 1:15:09 But years later, they're still doing it. 968 1:15:10 --> 1:15:18 So there's like an overarching power that I think is global nature that treats large numbers of people like we're insects. 969 1:15:18 --> 1:15:24 And so there wasn't the massive spraying like you saw in China, but it was still bad. 970 1:15:24 --> 1:15:28 And I think we got to be mindful of the effects. 971 1:15:28 --> 1:15:32 I mean, we should be banning all of these pesticides spraying in New York. 972 1:15:33 --> 1:15:40 And I think that the video clip should hopefully will cause some outrage to make sure that something like this doesn't happen in China or any place else. 973 1:15:40 --> 1:15:44 It's very, very dangerous to see nothing of the horrific lockdown. 974 1:15:44 --> 1:15:52 People can find a little tiny cubicles forced to take whatever vaccines they're told to take, forced to eat whatever they're given. 975 1:15:52 --> 1:15:53 Who knows what experimental stuff. 976 1:15:54 --> 1:15:59 And if you die inside one of those facilities, well, they'll just be written up as a COVID death. 977 1:15:59 --> 1:16:10 Won't be written up as you died because you were given forced to take some COVID shot or other experimental drug or other experimental things that may have been placed in your food. 978 1:16:11 --> 1:16:17 Because it's such a closed society, they can get away with an awful lot. 979 1:16:17 --> 1:16:19 I mean, I don't know. It shocked me. 980 1:16:19 --> 1:16:25 I knew from the very beginning of lockdowns and stuff that a lot of people were going to die. 981 1:16:25 --> 1:16:29 And the fact they were given the COVID shots, I knew there were a lot of people going to die. 982 1:16:29 --> 1:16:31 I didn't imagine these types of numbers. 983 1:16:32 --> 1:16:39 But the researcher that you saw there and others, which I have in my second video, they lay their facts on the table. 984 1:16:39 --> 1:16:41 They lay their sources on the table. 985 1:16:41 --> 1:16:54 And it's up to people like you and the others here and beyond to double check their references and do your own analysis, draw whatever number you think is most appropriate. 986 1:16:54 --> 1:16:55 So. 987 1:16:57 --> 1:17:05 Let's say what we see, the Chinese, they are the factory of the world. 988 1:17:06 --> 1:17:19 And if, if, let's say hundreds of millions of people should have died and they are not producing anymore, we would also have seen it on the supply side. 989 1:17:19 --> 1:17:26 And on the other side, we see that there are massive unemployment now. 990 1:17:26 --> 1:17:32 They're shutting down factories because of the trade policies by Trump. 991 1:17:33 --> 1:17:46 And if, if you had so many people taken out of the economy and there would be a shortage of capacity, it doesn't make sense to me. 992 1:17:47 --> 1:17:48 Good. Thank you, Anders. 993 1:17:48 --> 1:17:48 That's a comment. 994 1:17:48 --> 1:17:50 I'll take that as a comment and we'll move on. 995 1:17:51 --> 1:17:51 Ellen. 996 1:18:00 --> 1:18:02 Okay, here's Sebastian. 997 1:18:02 --> 1:18:03 Good. 998 1:18:05 --> 1:18:06 Hi Curtis. 999 1:18:06 --> 1:18:07 Good evening. 1000 1:18:07 --> 1:18:10 And a simple quick question. 1001 1:18:10 --> 1:18:21 During the lockdown in China, was 5G in any way or means implicated or initiated, turned on, utilized during that time? 1002 1:18:21 --> 1:18:28 Because we have quite a few members here that focus on this specific topic. 1003 1:18:29 --> 1:18:37 How the 5G is actually being used or is supposed to be used as a phased array weapon, etc. 1004 1:18:38 --> 1:18:41 So do we have any information on this, on this point? 1005 1:18:41 --> 1:18:53 Well, yes, I mentioned earlier that, yeah, the Chinese government was accused of turning on 5G and that probably contributed to a lot of the deaths that took place in Wuhan specifically. 1006 1:18:53 --> 1:18:58 There's probably more going on, but we need to be concerned about that here. 1007 1:18:58 --> 1:19:03 You take a drive through your typical city, you get 5G towers everywhere. 1008 1:19:03 --> 1:19:11 I remember recently I was driving upstate and I saw this what looked at first like a giant pine tree or something. 1009 1:19:11 --> 1:19:14 But in fact, it was 5G antennas. 1010 1:19:14 --> 1:19:22 And they actually have companies out there that disguise 5G towers. 1011 1:19:22 --> 1:19:27 I mean, they make it look like water towers and things and they attach them to light poles. 1012 1:19:27 --> 1:19:34 Now, they only do that if they know what as people wake up, they'll recognize these things as dangerous. 1013 1:19:34 --> 1:19:48 So 5G and I have done some interviews with the woman, Daphna, I can't remember her last name, but she was the head of technology for the Israeli military. 1014 1:19:48 --> 1:19:59 And she's left and began working with Mr. Kennedy and children's self-defense warning about the dangers of 5G and wireless radiation in general. 1015 1:19:59 --> 1:20:05 And I tell you, listening to her scared the daylights out of me. 1016 1:20:05 --> 1:20:09 I mean, absolutely terrifying the things she said. 1017 1:20:09 --> 1:20:19 In fact, I took out any 5G, anything like that in my apartment and went to Ethernet, which is much safer. 1018 1:20:20 --> 1:20:24 So 5G, yes, I take very seriously as a very dangerous weapon. 1019 1:20:25 --> 1:20:31 And we need to be worried about that over here because we're surrounded by 5G towers and they keep building more. 1020 1:20:32 --> 1:20:36 And so, yes, yes, they did do it. 1021 1:20:36 --> 1:20:38 And the implications are scary. 1022 1:20:39 --> 1:20:40 Thank you. 1023 1:20:40 --> 1:20:41 Thank you, Sebastian. 1024 1:20:41 --> 1:20:42 Ellen is next. 1025 1:20:43 --> 1:20:44 Yes, thank you. 1026 1:20:45 --> 1:20:56 I came in just at the part where the woman was talking about population decline and it was interesting. 1027 1:20:56 --> 1:21:05 I, you know, Googled it quickly too that because, you know, the statistics were given that it's like 1.6 billion. 1028 1:21:06 --> 1:21:10 We always heard that, you know, China had the largest population. 1029 1:21:11 --> 1:21:22 And I think what the interesting implications of her research is that, you know, what's the fertility rate is? 1030 1:21:22 --> 1:21:25 I mean, we know Burkhardt. 1031 1:21:26 --> 1:21:39 I just saw this Burkitt, you know, showed how the vaccines get into the testes and basically the spike protein replaces the sperm. 1032 1:21:39 --> 1:21:51 And, you know, Naomi Wolf's research came up with this, that it was basically going to cause a decline in, you know, the population. 1033 1:21:51 --> 1:21:56 That was really the form of bio warfare that that was going on. 1034 1:21:56 --> 1:22:19 And I would I wish you would, you know, you may have done this before, but we need is more of a, you know, inferential statistical research where you say, you know, this what vaccines were given, you know, when I know in America are they started putting MRNA platform in by Pfizer in 2016. 1035 1:22:21 --> 1:22:27 So a lot of people think, well, it couldn't be related because I didn't get it till 2021 or two. 1036 1:22:27 --> 1:22:30 And so, you know, it's like, what is driving this? 1037 1:22:30 --> 1:22:34 And it could well be, you know, we also saw a lot of research. 1038 1:22:34 --> 1:22:47 That's that's really what I my job has been is to kind of put together secondary research with primary research and figure out exactly, you know, what the trends are and what's going on and what's driving it. 1039 1:22:47 --> 1:23:01 And I wouldn't be kind of surprised at Stephen Frost, you know, just kind of saying, I don't like China, you know, I think the same globalist population control measures have been put in. 1040 1:23:01 --> 1:23:10 It's hard to accept. But by, you know, the World Economic Forum, World Health Organization, you know, really stated goals. 1041 1:23:11 --> 1:23:16 Microsoft's or Bill Gates goal of reducing the population by seven eights. 1042 1:23:16 --> 1:23:18 That's that's known. 1043 1:23:18 --> 1:23:31 And I just was looking for a document by Michael Ruppert from the wilderness where he was documenting this biological warfare back in the, you know, 2006 or something. 1044 1:23:31 --> 1:23:34 But they've now disappeared his whole website. 1045 1:23:34 --> 1:23:37 But it is on archive.org. 1046 1:23:38 --> 1:23:47 You know, the the details of this have microbiologists were being killed off, you know, suspiciously. 1047 1:23:47 --> 1:24:03 Those who were daring to speak out about these kind of plans, we know they're, you know, this whole thing came out of Fort Detrick or, you know, Fort Detrick by a warfare CRISPR labs were funded funding vaccine countermeasures. 1048 1:24:03 --> 1:24:12 You know, but they, you know, it's it's not repeated in the news here, just like and it's definitely we get misinformation about China. 1049 1:24:12 --> 1:24:15 And so I think this is important research. 1050 1:24:15 --> 1:24:20 And, you know, but I particularly also appreciate that you're bringing it up. 1051 1:24:20 --> 1:24:30 But the the five G we we've seen now research showing that five G was designed to work with this kind of electric. 1052 1:24:30 --> 1:24:32 You all probably have research on this, right? 1053 1:24:32 --> 1:24:42 This, you know, the electric kind of fad, mRNA, you know, something in the the vaccines. 1054 1:24:42 --> 1:24:59 But and we also know people should watch this movie, Agent People versus Agent Orange, showing how they our country was spraying dioxin Agent Orange all over California and Oregon and then killing off the people that were blowing the whistle on it. 1055 1:24:59 --> 1:25:05 You know, so this we big the big paradigm shift is we have to say it's not just them. 1056 1:25:05 --> 1:25:08 It's it's us. And who is the us? 1057 1:25:08 --> 1:25:24 It seems to be the the World Economic Forum, the World Health Organization, the King Charles and and mainly us, you know, our our the CIA and, you know, the the kind of deep state has been colluding. 1058 1:25:24 --> 1:25:33 And I've done a lot of research with the promise software that it was given by Israel to China and Osama bin Laden and Russia and the US. 1059 1:25:33 --> 1:25:43 And so we're all being fooled. It's being used to to, you know, dumb us all down and kill us all off really by seven, eight. 1060 1:25:43 --> 1:25:47 And the fertility rate is something we should track in America as well. 1061 1:25:47 --> 1:25:53 And then you have to figure out what what statistics are true and which aren't true. 1062 1:25:53 --> 1:25:56 Anyhow, it's a long comment, but thank you. 1063 1:25:56 --> 1:26:03 Sure. I will say that the elites have been saying there's too many people in the world for many decades. 1064 1:26:03 --> 1:26:12 And I majored in political science when I was in college, Custard's International, with a special focus on world hunger issues. 1065 1:26:12 --> 1:26:17 And I learned from that that the claim that there's too many people was all bogus. 1066 1:26:17 --> 1:26:21 There's more than enough people and not enough land to feed everybody. 1067 1:26:21 --> 1:26:29 You can fit every man, woman and child on the planet into the state of Texas, and they could each have a small piece of land. 1068 1:26:29 --> 1:26:31 So the idea is too many people is the same thing. 1069 1:26:31 --> 1:26:34 I said, there's too many ants in the world is bogus. 1070 1:26:34 --> 1:26:39 But what they really mean is that they want to have absolute control over resources. 1071 1:26:39 --> 1:26:47 And as people become more educated and more enlightened through the Internet and things, they're going to demand more of the resources. 1072 1:26:47 --> 1:26:50 And that's not what the ultra elites want. 1073 1:26:50 --> 1:26:53 They want absolute control and people becoming too much aware. 1074 1:26:53 --> 1:27:03 I mean, it wasn't like many years ago when the only source of information people had was like books or maybe some newspapers. 1075 1:27:03 --> 1:27:12 Now people can get all that information instantaneously on Google and other platforms, and especially with this AI technology, which is blowing my mind. 1076 1:27:12 --> 1:27:14 So they don't want that. 1077 1:27:14 --> 1:27:16 And they're very concerned. 1078 1:27:16 --> 1:27:20 And they want, you know, really powerful people say something. 1079 1:27:20 --> 1:27:22 You need to pay attention. 1080 1:27:22 --> 1:27:28 When they say they want to reduce the world's population by 90 percent, you need to take them very, very seriously. 1081 1:27:28 --> 1:27:42 And so I will say in terms of some more concrete data, I saw a report about the BCG vaccine being used in China. 1082 1:27:42 --> 1:27:48 This is the vaccine for preventing TB, which is bogus and they're poisoning their kids. 1083 1:27:48 --> 1:27:59 But China has been charged, arguments have been made that they are lying about on the fertility rate, how many children are born each year. 1084 1:27:59 --> 1:28:11 Well, when this information is publicly available, the number of newborns who receive the vaccine and think that they have to be vaccinated day one within 24 hours. 1085 1:28:11 --> 1:28:14 So that becomes a reliable number. 1086 1:28:14 --> 1:28:26 And what the research showed was that the Chinese government overestimated the number of births by something like 178 million from 1980. 1087 1:28:26 --> 1:28:32 So their numbers have been grossly inflated in terms of the number of babies actually being born. 1088 1:28:32 --> 1:28:38 And so there's all kinds of anomalies and things, what they say and question marks. 1089 1:28:38 --> 1:28:42 And I'll go into more details in the second video I put out on this. 1090 1:28:42 --> 1:28:55 But yes, I mean, I think the numbers that we're talking about potentially in China and the deaths that could be tied to the overpopulation agenda or reducing the population. 1091 1:28:55 --> 1:28:58 And they're doing the same thing to a lesser degree over here. 1092 1:28:58 --> 1:29:03 I mean, I've been fighting for years against quarantine camps here in New York State. 1093 1:29:03 --> 1:29:13 I mean, we actually have a governor, Governor Kathy Kolko and Leticia James, I'm sure you all know about the media now, have been pushing for quarantine camps. 1094 1:29:13 --> 1:29:19 And they've been fighting vigorously. I mean, we have great attorney Bobbie Cox, and she's fought back. 1095 1:29:19 --> 1:29:25 But, you know, their control over the judges is pretty intense. 1096 1:29:25 --> 1:29:33 I mean, one of the appeals that Bobbie and Cox made was that, I mean, was brilliant. 1097 1:29:33 --> 1:29:39 People gave a standing ovation. And we thought for sure that the judges was going to rule in our favor. 1098 1:29:39 --> 1:29:45 But no, the judges actually had the audacity to say that they didn't have standing. 1099 1:29:45 --> 1:29:51 We didn't have standing. How can we representing elected officials, senators, six senators and assembly people, 1100 1:29:51 --> 1:29:56 How could they not have standing over a bill that infringes on their rights? 1101 1:29:56 --> 1:30:04 They're trying to pass a regulation when in fact what they were trying to do was really to undermine the New York State Legislature, 1102 1:30:04 --> 1:30:08 which is the one who's supposed to make decisions about quarantine camps. 1103 1:30:08 --> 1:30:14 And we already have legislation in New York for those issues. Somebody is a health threat. 1104 1:30:14 --> 1:30:23 But we need to take all this stuff very seriously and look at the big picture because it's definitely an agenda at foot. 1105 1:30:23 --> 1:30:28 Thank you, Alan. We're going to move. We're going to keep moving. If we have time, we'll come back later. 1106 1:30:28 --> 1:30:33 But Anders made that good point, Curtis, in terms of the production from China. 1107 1:30:33 --> 1:30:40 Who knows what the truth is? But you raised some excellent questions. 1108 1:30:40 --> 1:30:44 Now, Gary Hawkins is next and then Masha. 1109 1:30:44 --> 1:30:54 Yeah, having no standing translated means if your rights are being violated, you don't have any business complaining about it. 1110 1:30:54 --> 1:31:05 That really annoys me. Thank you for bringing this up, Curtis. And thank you, Stephen, for inviting him here again. 1111 1:31:05 --> 1:31:12 Thank you. Some YouTube videos. A few things were kind of just jumping out at me. 1112 1:31:12 --> 1:31:20 I know it's kind of, you know, skimming over things. But do you do you see the chat here in this session? 1113 1:31:20 --> 1:31:28 I'm going to paste into the chat some possibilities of what's happening with these people. 1114 1:31:28 --> 1:31:45 There was one video where Xi, the leader of China, was claiming that people are criminals and they're being arrested and the platitude of they will be given representation sometime, somewhere in the future. 1115 1:31:45 --> 1:31:52 Number two, I don't know about the Sinovac vaccine, COVID vaccine, what the protocol was. 1116 1:31:52 --> 1:32:00 I don't know if it was like J&J and AstraZeneca, which were so deadly they had to be pulled from the market, which was a single initial shot. 1117 1:32:00 --> 1:32:05 Or whether there are two initial shots like Pfizer and Moderna. 1118 1:32:05 --> 1:32:10 One video was suggesting the possibility of organ harvesting. 1119 1:32:10 --> 1:32:22 And oh my God, what a horror that is. If that many people, that would mean the cost of getting an organ transplant would go way down, right? Worldwide. 1120 1:32:22 --> 1:32:32 I myself thought if I'm the leader of China, I might like the idea of exporting my people to all over the place. 1121 1:32:32 --> 1:32:43 Like, for example, in the Panama Canal and China trying to take over the Panama Canal, we just put a whole bunch of our people there and they act as eyes and ears for us. 1122 1:32:43 --> 1:32:59 That type of thing. Number five, somebody was suggesting the Chinese people are fleeing, escaping to the wilder rural China, which they said is vast. 1123 1:32:59 --> 1:33:04 I didn't watch that video yet, but yeah, kind of believable, I guess. 1124 1:33:04 --> 1:33:09 And then number six, the sprain and killing their own citizens either accidentally or on purpose. 1125 1:33:09 --> 1:33:16 And I think that's probably your I want to know what your OK, what's your best guess? 1126 1:33:16 --> 1:33:21 It could be a combination of things. Thanks again, Kurtz. 1127 1:33:21 --> 1:33:27 Great. My best guess about what? I'm not sure. 1128 1:33:27 --> 1:33:31 As to what's happening to those people. 1129 1:33:31 --> 1:33:34 Well, I think they're dead. 1130 1:33:34 --> 1:33:37 Sure. 1131 1:33:37 --> 1:33:39 What killed them? 1132 1:33:39 --> 1:33:42 What did you want? 1133 1:33:42 --> 1:33:44 Yeah. 1134 1:33:44 --> 1:33:47 What they cease to be. 1135 1:33:47 --> 1:33:52 Yeah, but many things could have killed them. So what do you suppose is most likely? 1136 1:33:52 --> 1:34:04 Well, some of the topics that I covered in the video was the massive spring of what we were told were disinfectants, which are toxic, even thought supposed to breathe that stuff in, that's pure skin. 1137 1:34:04 --> 1:34:17 And they were spraying them again and again. And in the video, I also mentioned the locking people in buildings, no food, no water, basically left to die. 1138 1:34:17 --> 1:34:31 And I also in the video mentioned the quarantine camps where people were literally rounded up whole communities rounded up at midnight or and taken to these quarantine camp facilities. 1139 1:34:31 --> 1:34:41 And these quarantine camps were all over China. They built thousands of them. And some of these facilities could hold as many as 50,000 people at a time. 1140 1:34:41 --> 1:34:55 And I think the combination of these things plus the forced vaccination with the COVID shot, which I think is the deadliest vaccine ever created, I think a combination of these things contributed to massive deaths in China. 1141 1:34:55 --> 1:35:00 Yeah. Okay. And then I'll just offer one more thing. I have one Chinese friend. 1142 1:35:00 --> 1:35:08 You alluded earlier to the difficulty of getting believable information out of China. 1143 1:35:08 --> 1:35:18 So they had this one child policy and she told me that her dad who would her parents live in the Bay Area, she has a slight accent, by the way. 1144 1:35:18 --> 1:35:28 Her dad told her that in the in the area that they came from, it had become a four child policy there. 1145 1:35:28 --> 1:35:33 Isn't that weird? It's like, yeah, I agree with you. 1146 1:35:33 --> 1:35:38 Hard to hard to figure out what's going on in China, right? 1147 1:35:38 --> 1:35:42 No complicated situation. 1148 1:35:42 --> 1:35:46 So, have you finished, Gary? Thank you for the question. 1149 1:35:46 --> 1:35:52 Masha, you're in Germany, aren't you Masha? I think. 1150 1:35:52 --> 1:35:53 Yes. 1151 1:35:53 --> 1:35:56 Very good. 1152 1:35:56 --> 1:36:02 For some reason I used to think you were in Israel, but I don't know why that was. 1153 1:36:02 --> 1:36:07 My daughter is Israeli. You might have known this because we've been discussing it. 1154 1:36:07 --> 1:36:08 All right. 1155 1:36:08 --> 1:36:11 So you attributed it to me in a way. 1156 1:36:11 --> 1:36:12 Yeah. 1157 1:36:12 --> 1:36:14 I'm in Germany. 1158 1:36:14 --> 1:36:15 Okay. Hi Curtis. 1159 1:36:15 --> 1:36:18 Hello. 1160 1:36:18 --> 1:36:22 Talking of reliable numbers. 1161 1:36:22 --> 1:36:29 In person, percentage of decline in China. What are we talking about in percentage? 1162 1:36:29 --> 1:36:36 Well, we talked about over the past few years, something like fifth percent drop in the population. 1163 1:36:36 --> 1:36:46 If we use the number 800 million at the beginning of COVID, and they're talking about 400 million drop. 1164 1:36:46 --> 1:36:49 Well, that means half of the population may have declined. 1165 1:36:49 --> 1:36:55 In fact, as you saw in the presentation, a woman said that that's it's probably worse than that. 1166 1:36:55 --> 1:37:00 That's probably closer to 500 million because those numbers go up through the early 2023. 1167 1:37:00 --> 1:37:15 And if we go beyond that up until 2024, 2025, the number of people dead could be reached could reach 500 million, which would mean the population of China would be around 300 million. 1168 1:37:15 --> 1:37:24 So we're talking about half or more than half of the population gone in the past few years. 1169 1:37:24 --> 1:37:32 The reason I am asking was 17 millions officially acknowledge vaccination death. 1170 1:37:32 --> 1:37:39 I do not believe it's true, but I know a tiny island in the middle of the Atlantic. 1171 1:37:39 --> 1:37:48 And on this island, the island of themselves are talking about 20 percent decline in about last two years. 1172 1:37:48 --> 1:38:05 And with this knowledge, I do believe that 20 percent decline in every country is realistic because the only difference between this tiny island and say Germany or US that you cannot die here anonymously. 1173 1:38:05 --> 1:38:12 People know each other. So if someone dies, it might be someone from family or friend or neighbor or something. 1174 1:38:12 --> 1:38:20 And these are the only realistic numbers I know, which are really reliable because the people are not dying anonymously. 1175 1:38:20 --> 1:38:26 So I think 20 percent, from my point of view, is a realistic decline in every country. 1176 1:38:26 --> 1:38:47 We just wanted to come in. Well, yeah, if I actually listen that I would think if you're talking about just vaccine related deaths, but we're talking about mass poisoning, people being sprayed with toxic chemicals and people being locked in to their buildings to literally starve and dehydrate. 1177 1:38:47 --> 1:38:54 We're talking about something way beyond just vaccine related deaths. 1178 1:38:55 --> 1:38:59 Thank you, Curtis. My pleasure. Thank you. 1179 1:38:59 --> 1:39:13 So it is true, Curtis. I think if you look at the history of those great genocides in China, that no one knew what was happening or lots of people in China didn't know what was happening until afterwards. 1180 1:39:13 --> 1:39:19 I think that was the common thing. So you'd think it's a huge country. 1181 1:39:19 --> 1:39:27 Of course, China is the size of the United States, approximately mainland United States without Alaska, I think from memory. 1182 1:39:27 --> 1:39:31 But maybe the whole I'll look it up in a second. 1183 1:39:31 --> 1:39:43 But yeah, so the the thing about China is that they have a history of killing their own people rather like Stalin. 1184 1:39:43 --> 1:39:47 You know, he was killing the Russian people as well. 1185 1:39:47 --> 1:39:50 I guess. Yes. 1186 1:39:50 --> 1:39:54 Go ahead. No, no, I saw a report. 1187 1:39:54 --> 1:39:57 I mean, I've done a lot of reading and there's a lot of reports on China. 1188 1:39:57 --> 1:40:10 And one of them was pointing out that even Mao Zedong said that, you know, if we lose, you know, 100 million people or more, that's OK if it's for the revolution. 1189 1:40:10 --> 1:40:22 And he made similar quotes several times, according to this report, which may reflect the mentality of what we're seeing there today. 1190 1:40:22 --> 1:40:34 I mean, it's yeah, the public perception is China's thriving economy and everybody's into high tech making lots of money. 1191 1:40:34 --> 1:40:41 Now, there's massive, massive poverty all across China, even the people who are doing well. 1192 1:40:41 --> 1:40:46 They make a fraction of what most Americans make in terms of monthly income. 1193 1:40:46 --> 1:41:03 So, unfortunately, if these numbers are correct, are anywhere close to being correct, we're talking about one of the greatest acts of genocide of this century, if not world history. 1194 1:41:03 --> 1:41:14 And, you know, I really hope this can be proven wrong, because I really I'd rather not believe that human beings are capable of such mass murder, especially of their own kind. 1195 1:41:14 --> 1:41:17 You normally think of the Chinese as, you know, close knit people. 1196 1:41:17 --> 1:41:26 It's hard to imagine an invading army of China doing worse to the Chinese people than what's being done right now with the current government. 1197 1:41:26 --> 1:41:31 But hopefully that's wrong. Maybe it's all miscalculation, misunderstanding. 1198 1:41:31 --> 1:41:40 Nobody's being sprayed with poisons. Nobody's locked in quarantine, cancer, nobody's being forced to take part of the deadly vaccine. 1199 1:41:40 --> 1:41:43 Maybe all that's wrong. And it'd be great if somebody could prove that. 1200 1:41:43 --> 1:41:50 Hmm. Well, it's great news that Trump has sorted out Panama and China. 1201 1:41:50 --> 1:41:58 And now he's sorted out the Middle East, Saudi Arabia, the United Arab Emirates and what's the other one? 1202 1:41:58 --> 1:42:06 The second one he went to, I forgot the name, not too bad. 1203 1:42:06 --> 1:42:12 What's the second state that Trump went to last week? 1204 1:42:12 --> 1:42:14 Saudi Arabia? 1205 1:42:14 --> 1:42:16 Saudi Arabia, yes, the second one. 1206 1:42:16 --> 1:42:18 What was the second one? 1207 1:42:18 --> 1:42:22 I can't remember. 1208 1:42:22 --> 1:42:26 I think it was the Emirates. 1209 1:42:26 --> 1:42:30 No, that was the United Arab Emirates. But what was the other one? The third one? 1210 1:42:30 --> 1:42:32 Qatar, Qatar. 1211 1:42:32 --> 1:42:34 Yeah. 1212 1:42:34 --> 1:42:43 So, oh, and so Trump's story about last week was that he's taken the trade. 1213 1:42:43 --> 1:42:52 He's got seven trillion dollars worth of orders, you know, for America coming back from the Middle East. 1214 1:42:52 --> 1:42:57 And he's taken those orders because they were going to give them to China. 1215 1:42:57 --> 1:42:59 I don't know whether that's true. 1216 1:42:59 --> 1:43:06 But anyway, so Trump is quietly sorting out China, it looks like. 1217 1:43:06 --> 1:43:14 Well, yeah, well, Trump has said when he was running for president that his focus is America first. 1218 1:43:14 --> 1:43:24 And I think it's nothing less than treason what the Democrats did by shifting manufacturing over to China and other places. 1219 1:43:24 --> 1:43:29 Nothing less than treason. And Trump is he's fighting against that. 1220 1:43:29 --> 1:43:34 And so the tariffs don't know how long those really going to last. 1221 1:43:34 --> 1:43:41 But at the very least, it's going to motivate more manufacturers to start producing those products that would normally be coming in from China. 1222 1:43:41 --> 1:43:46 I mean, America can make things and can make things as good and better than others. 1223 1:43:46 --> 1:43:52 And I think it's time for that to take place. And Trump is the is the man to get the job done. 1224 1:43:53 --> 1:43:56 So, Ellen, do you want to ask another question? 1225 1:43:56 --> 1:44:08 Yeah, I just before before and jumps in, I just want to make a quick correction, Charles Curtis, the statement that Maaston said, what about 100 million Chinese? 1226 1:44:08 --> 1:44:12 He really didn't care about that. That was actually in. 1227 1:44:13 --> 1:44:28 In regards to the nuclear weapon that he wanted from Russia back in those days, so you asked Russia, he asked Stalin to give them, give him the technology to build a nuclear device and started and said, you know, you can you can kill a lot of people with this. 1228 1:44:28 --> 1:44:32 And he said to Stalin after about that, concerning that. 1229 1:44:32 --> 1:44:35 Yeah, well, I saw several quotes. I remember the details and exact context. 1230 1:44:35 --> 1:44:42 But the main point was that he's expressed a willingness to sacrifice large numbers of his people. 1231 1:44:42 --> 1:44:44 So there were several quotes, as I said. 1232 1:44:44 --> 1:44:46 So thank you. 1233 1:44:46 --> 1:44:48 Yeah. 1234 1:44:48 --> 1:44:53 So, Ellen, I think you're going to have to go back to the beginning of the conversation. 1235 1:44:53 --> 1:45:03 Yeah, I just, yeah, I think that we've got a huge misinformation campaign about China and Russia. 1236 1:45:03 --> 1:45:05 And I think that's a good point. 1237 1:45:05 --> 1:45:07 I think that's a good point. 1238 1:45:07 --> 1:45:09 I think that's a good point. 1239 1:45:09 --> 1:45:23 Okay, yeah, I just, yeah, I think that we've got a huge misinformation campaign about China and Russia. 1240 1:45:23 --> 1:45:28 And I, you know, Trump seems to get Russia and but but not China or Iran. 1241 1:45:28 --> 1:45:48 But I think, you know, the key question is, my hypothesis would be that it was America that has poisoned China or, you know, helping the CCP poison China, you know, just like we're doing to the world. 1242 1:45:48 --> 1:45:55 You know, so and covering it up, I mean, you know, it just frustrates me. 1243 1:45:55 --> 1:45:57 Maybe you should have a debate. 1244 1:45:57 --> 1:46:04 But I know there's some really great Chinese, accurate Chinese sources, Ben Norton. 1245 1:46:04 --> 1:46:30 And, you know, people are working overtime to try to help America see that China is not an enemy, whereas, you know, it seems we've known for the last ever since the war on, you know, Russia's attack on Ukraine, which was really Russia just, you know, telling NATO not to point missiles at at Russia. 1246 1:46:30 --> 1:46:45 And, you know, and so America and the Western powers that petro dollar states have been orchestrating this propaganda campaign to misinform the Americans and the world about China. 1247 1:46:45 --> 1:47:03 You know, John Pilger, you know, wrote about this or did great documentaries on it, you know, that, you know, we're we're just and I know a Chinese girl in my free speech forum, which is a great thing people should check out college of complexes.org. 1248 1:47:03 --> 1:47:11 But she said that, you know, Taiwan, there's always been a policy if Taiwan attacks China, you know, it's going to be World War. 1249 1:47:11 --> 1:47:16 And America is just doing everything to provoke that. 1250 1:47:16 --> 1:47:20 And it's it really is a classic deep state. 1251 1:47:20 --> 1:47:31 You know, we have to understand that this date deep state plan was put in, you know, the New World Order, 1948 National Security Act, England, America, Israel. 1252 1:47:31 --> 1:47:41 You know, this plot to take over the world, you know, but primarily waging a Cold War on communism. 1253 1:47:41 --> 1:47:49 And we've used that, like he said, to go and take the resources, put in torture camp, put in puppets, you know. 1254 1:47:49 --> 1:48:01 You know, and so it's I think it's up to us to see, you know, that the same thing that we we assassinated Kennedy and, you know, 9-11 and now covid. 1255 1:48:01 --> 1:48:09 This is all, you know, a deep state operation that, you know, it seems what definitely is the deep state. 1256 1:48:09 --> 1:48:19 You read Peter, Dale, Scott and, you know, the this whole body of revisionist history is showing that we are, you know, we've just been lied to. 1257 1:48:19 --> 1:48:24 And so that's why people should come to our truth action project on Tuesday night. 1258 1:48:24 --> 1:48:36 Well, tonight from seven to nine central time where we're discussing and trying to get Trump aware of these three, you know, to open up the records and have a presidential commission to get the records. 1259 1:48:36 --> 1:48:40 About exactly who, you know, who is causing these deaths? 1260 1:48:40 --> 1:48:42 You know, I think that's the key thing. 1261 1:48:42 --> 1:48:45 And the thing we're not looking at is ourselves. 1262 1:48:45 --> 1:48:49 You know, it's that Adam Curtis, you know, power of nightmares. 1263 1:48:49 --> 1:48:54 It's always the enemy that we create China, Russia, Iran. 1264 1:48:54 --> 1:49:02 And the truth is, they're the only ones that have resisted being captured by our our global banking. 1265 1:49:03 --> 1:49:07 Banking of international settlement, Luciferian takeover. 1266 1:49:07 --> 1:49:10 Right. So anyhow, that's what I want to say. 1267 1:49:10 --> 1:49:22 And this idea of standing, I really gets me because we have to figure out a way to get it into courts, international courts with the power to to hold America to a truth and reconciliation process that a denazification process. 1268 1:49:22 --> 1:49:24 So thank you. 1269 1:49:24 --> 1:49:36 I will say that one of the implications, I think, of this information overall is that we've got to think about the implications in terms of our own self-interest. 1270 1:49:36 --> 1:49:40 A lot of our pharmaceuticals are coming from China. 1271 1:49:40 --> 1:49:47 Now, if these things are true, these numbers are anywhere close to what they seem to be. 1272 1:49:47 --> 1:49:50 We should be following the same steps that we've been following. 1273 1:49:50 --> 1:49:52 And the vaccine, in fact, Mr. 1274 1:49:52 --> 1:50:02 Kennedy has said that there needs to be a shift because it's not in our best interest to have our pharmaceutical products coming in from China, which is not like our warmest friend. 1275 1:50:02 --> 1:50:05 And I think that also applies to food. 1276 1:50:05 --> 1:50:08 Chinese food is very, very toxic. 1277 1:50:08 --> 1:50:11 And I think that's a very important point. 1278 1:50:11 --> 1:50:21 I mean, I saw a video of which they were dipping fruits like strawberries and pesticides 24 different times. 1279 1:50:21 --> 1:50:24 I saw a video of a conveyor belt. 1280 1:50:24 --> 1:50:28 One of the watermelons exploded. 1281 1:50:28 --> 1:50:31 People get very, very sick. 1282 1:50:31 --> 1:50:36 These very limited regulations is outright all-in-all corruption in China. 1283 1:50:36 --> 1:50:48 And consequently, the regulations to protect the health of the public from dangerous food products and toxic food products, and all of that, and I think that's a very important point. 1284 1:51:19 --> 1:51:23 And the shelves are actually stocked with a lot of food products from China. 1285 1:51:23 --> 1:51:34 And we need to ask them if they are doing certain things like this to their own people, what do you think they're capable of doing to us with their food products and their medicines? 1286 1:51:34 --> 1:51:38 And so I thought that was a question to be considered. 1287 1:51:38 --> 1:51:47 Do you think the FDA should be more reliable at evaluating what food and drugs are poisoning us? 1288 1:51:47 --> 1:51:48 Without a doubt. 1289 1:51:48 --> 1:51:53 I mean, I've said for many years that the FDA is a joke. 1290 1:51:53 --> 1:51:57 I mean, they routinely put dangerous products on market. 1291 1:51:57 --> 1:52:06 That's why myself and many others are so happy when Mr. Kennedy, Robert F. Kennedy Jr. was appointed to be Secretary of HHS. 1292 1:52:06 --> 1:52:14 We think this will be a major overhaul, and I think the health of Americans are going to improve because Mr. Kennedy is in that position. 1293 1:52:16 --> 1:52:27 I heard there, just speaking of Trump, that they just announced, I think that they're not going to require mandated vaccines to be given to children. 1294 1:52:27 --> 1:52:30 That just was announced, right? 1295 1:52:30 --> 1:52:32 Yeah. And to pregnant women. 1296 1:52:32 --> 1:52:40 I think they were focused on the COVID shot specifically that is no longer going to be required, which is a huge victory. 1297 1:52:40 --> 1:52:49 Dr. James Thorpe, he had been leading the fight because he's an OGBYN, and I've had him on as a guest on my substack many times. 1298 1:52:49 --> 1:52:57 And he's been outraged over the idea of giving these COVID shots to pregnant women. 1299 1:52:57 --> 1:53:03 He's seen all the adverse reactions that they were having, the fetuses and the deaths and everything. 1300 1:53:03 --> 1:53:13 Horrific. And he was talking to me on the phone at one point while he was working on a book, but he was very busy and time consuming. 1301 1:53:13 --> 1:53:20 And he didn't know what to do. And I recommended that he speak with Celia Farber. 1302 1:53:20 --> 1:53:28 She's a famous writer. I know her from years ago because we were part of the whole Expose and HIV AIDS hoax. 1303 1:53:28 --> 1:53:32 I have her book here, right? Serious adverse events. 1304 1:53:32 --> 1:53:33 Yes. 1305 1:53:33 --> 1:53:38 She's a member of this group. She's off and on, but I don't think she's on tonight. 1306 1:53:38 --> 1:53:43 Okay. Okay. Well, I put her in contact with Dr. Thorpe and they hit it off. 1307 1:53:43 --> 1:53:48 And instead of being like a ghostwriter, she became a co-author on the book. 1308 1:53:48 --> 1:53:59 And I think that book has helped with the decision to end the recommendation of the COVID shot be given to pregnant women and children. 1309 1:53:59 --> 1:54:08 So I think Dr. Thorpe and Celia and my little part may have had a role in what's happened now. It's a huge victory. 1310 1:54:08 --> 1:54:12 Was that Trump who announced that? Was it HHS? 1311 1:54:12 --> 1:54:15 I believe it was coming from HHS. 1312 1:54:15 --> 1:54:26 Yeah. Trump announced today that he had progress with, you know, his conversation with Putin and bringing about peace. 1313 1:54:26 --> 1:54:32 And they're going to have a meeting in the Vatican with the Pope, the American Pope. 1314 1:54:32 --> 1:54:34 Yeah. 1315 1:54:34 --> 1:54:38 So another fairy story. But anyway. 1316 1:54:38 --> 1:54:50 Oh, before I go, I should mention that it was Dr. Shasta Erickson who asked me to speak to Dr. Thorpe because he was having troubles writing his book. 1317 1:54:50 --> 1:54:57 So she's been behind the scenes making a lot of things happen most people don't know, including with myself and many others. 1318 1:54:57 --> 1:55:03 So she's a true warrior like I know all of you are. So big shout out to Dr. Shasta Erickson. 1319 1:55:03 --> 1:55:08 Yeah, I think she's on the call tonight. But, um, and I do want to ask a question. 1320 1:55:08 --> 1:55:09 Finished it, Ellen. 1321 1:55:09 --> 1:55:11 Okay. Yeah. Thanks. 1322 1:55:11 --> 1:55:13 Okay. Thank you. 1323 1:55:13 --> 1:55:16 And is. 1324 1:55:16 --> 1:55:17 Oh, yes. 1325 1:55:17 --> 1:55:31 So I'm not sure how to say this, but let's say most people who listen to the media believe that Fethanil is the main, let's say, killer in the USA. 1326 1:55:31 --> 1:55:41 But if you add graphene oxide and carbon nanotubes and link to 5G, there would be several times more lethal. 1327 1:55:41 --> 1:55:52 And I made this kind of analysis today, yesterday into the so-called freedom movement. 1328 1:55:52 --> 1:55:57 And it's an extreme sensor going on there. 1329 1:55:57 --> 1:56:01 So are you Curtis aware of that? 1330 1:56:01 --> 1:56:21 This is actually the main cause of death connected to COVID, which is the 5G and the nanotechnology, which is interfering in cellular death, which is then 5G and nanotechnology. 1331 1:56:21 --> 1:56:23 Are you aware of that? 1332 1:56:23 --> 1:56:28 Yeah, I organized an event and Dr. 1333 1:56:28 --> 1:56:39 Pilepsky was on and he was raising that very point about the link between 5G radiation and some of the components of the COVID shot. 1334 1:56:39 --> 1:56:43 I tell you that stuff is just so frightening. 1335 1:56:43 --> 1:56:50 And I've not done the in-depth research, but if Dr. Pilepsky says it, I take it as virtually gospel truth. 1336 1:56:50 --> 1:56:54 He's a brilliant researcher. So yes, there's a lot of literature out there. 1337 1:56:54 --> 1:57:00 I know the average person is very naive about this topic. 1338 1:57:00 --> 1:57:06 I mean, it's like frightening to see so many people walking around with these earpieces on wireless technology. 1339 1:57:06 --> 1:57:19 And according to Daphna, the woman who is an expert on radiation things, she said that that's far worse using the wireless headset than it would be if they use the wire. 1340 1:57:19 --> 1:57:25 But all these people, they don't know. They get in themselves brain cancers and tumors and other things they have no idea. 1341 1:57:25 --> 1:57:40 And most don't know about 5G, even though at Children's Health Conference, we managed to win a victory, I guess, with the SEC, where they no longer claim that wireless radiation is safe. 1342 1:57:40 --> 1:57:46 So, yeah, I'm familiar with it. I'm not an expert. I haven't done in-depth research on it. 1343 1:57:46 --> 1:57:51 But I know people like Dr. Pilepsky and others take it very, very seriously. 1344 1:57:51 --> 1:58:17 I'll just add another question. So according to my research, I find that inside the Freedom Movement, if you go into the wellness company and affiliated units, you will find that a lot of these people who are connected, nobody is talking about it. 1345 1:58:17 --> 1:58:20 What, 5G? 1346 1:58:20 --> 1:58:41 So, let's say, the nanotechnology, the synthetic technology in the graphene oxide, graphene nanotubes, all of this technology which was put into the JABs, they are interacting with 5G or 4G. 1347 1:58:41 --> 1:58:54 And it is a complete silence within most of them. Let's say if you go to Robert Malone, Peter McCullough, all of them, nobody's talking about it. 1348 1:58:54 --> 1:59:16 I remember doing research on that earlier on about the graphene oxide. And there was a doctor or scientist who said that one of the things that that stuff was doing was actually cutting up making microscopic razor-like incisions in people's organs and blood vessels. 1349 1:59:16 --> 1:59:34 And he was contributing to all the sudden deaths and things. And that particular scientist, he ended up being, well, he died shortly thereafter. There's literature out there. There's so many issues that are competing with each other. 1350 1:59:34 --> 1:59:42 But I think it's very valid to bring that issue to the forefront of public attention again. 1351 1:59:42 --> 1:59:45 Yes. Thank you for saying that. 1352 1:59:45 --> 1:59:48 My pleasure. 1353 1:59:48 --> 1:59:50 Ellen, do you want to ask another question? 1354 1:59:50 --> 1:59:51 Okay. 1355 1:59:51 --> 2:00:02 You know, unless someone else wants to go. But yeah, I wanted to just suggest that people see this Dr. David Martin. 1356 2:00:02 --> 2:00:19 Ivan, are you all familiar with Ivan? A really smart guy, thinking of his last name, but he posted a, and I'll try to post it here, a David Martin's talk at the. 1357 2:00:19 --> 2:00:21 Yeah, we know David Martin. 1358 2:00:21 --> 2:00:41 Okay, right. You know, well, he maybe this is from before, but just, you know, the statistics that he named on the World Health Organization that, you know, as a criminal cabal going back, you know, to 1913 and this, you know, this idea, the eugenics idea. 1359 2:00:41 --> 2:00:49 It kind of explains probably the influence behind this China genocide and, you know, Israeli genocide. 1360 2:00:49 --> 2:00:56 And, you know, they're they're all part of a plan, you know, but David Martin really knocks it out of the court. 1361 2:00:56 --> 2:01:11 And I actually posted that in a comment to real Donald Trump on Twitter or X, you know, thinking, please look at this and Ivan Cummins, if you y'all should bring him on because he Ivan Cummins science. 1362 2:01:11 --> 2:01:18 He's so clear about, you know, the analyze in this phenomena and we've had either Cummins as a guest. 1363 2:01:18 --> 2:01:19 Okay. 1364 2:01:19 --> 2:01:20 All right. 1365 2:01:20 --> 2:01:21 We have. 1366 2:01:21 --> 2:01:22 Okay. 1367 2:01:23 --> 2:01:35 You know, I just think we have to keep bringing these people up because I know even I suggested Russell Russell somebody you know you forget we know. 1368 2:01:35 --> 2:01:39 No, not Russell. Have you had him on? He's good to know. 1369 2:01:39 --> 2:01:49 No, right. But no, Russell, the doctor, I think you said that you that he had spoken out the beginning of the pandemic 2022. 1370 2:01:49 --> 2:02:08 That, you know, I'll think of his name and that, you know, this is an operation. This was a military biological warfare operation and that you know that's the, the truth suppression that there, we got to fight against is this, you know, 1371 2:02:08 --> 2:02:22 Department of Defense, US Army Special Forces, NIAID, Fauci, you know, Fort Detrick, Wuhan, you know, biological warfare operation. 1372 2:02:22 --> 2:02:24 Have you had Meryl Nass? I know, right. 1373 2:02:24 --> 2:02:25 Yes. 1374 2:02:25 --> 2:02:34 Right. You know, so it, but the world doesn't know this. This is, I'm glad to know now about you, Curtis, because I'll, you know, this and this show is so important. 1375 2:02:34 --> 2:02:55 You know, we need to get the whole world with one version of truth about, you know, who's poisoning us, which is, you know, the globalists and we're doing it to ourselves and people say only Donald Trump can, but you know, if he may be influenced, I think by the deep state. 1376 2:02:55 --> 2:03:04 This is really rude of me, but what does all that have to do in honoring the guest in his topic today? 1377 2:03:04 --> 2:03:10 Well, we were just discussing Gary, so we're not kind of rigid. Yeah. 1378 2:03:10 --> 2:03:12 Okay. 1379 2:03:12 --> 2:03:16 Well, yeah, you can go ahead if you like, Gary. 1380 2:03:16 --> 2:03:20 Oh, well, actually, we've got two people waiting, but anyway, go ahead if you want. 1381 2:03:20 --> 2:03:24 Well, thank you, Curtis. 1382 2:03:24 --> 2:03:31 Okay, this is a chance for me to say, did you have other things you wanted to add before we go to those two other hands up? 1383 2:03:31 --> 2:03:53 Well, I will say that I hope people will visit my Substack, CurtisCosts.substack.com. You can join for free or you can become a paid subscriber. It helps me and I put a lot of time in the materials I put out and it takes a week, two weeks sometimes to compile the material and then put it together for the videos and others. 1384 2:03:53 --> 2:04:00 That way this information can flow. So if you can join my Substack, I'd be really appreciated. 1385 2:04:00 --> 2:04:16 Sorry to interrupt you. I got here early and I mentioned, I think before you arrived that I just remember the last time you were here, whatever it was you were talking about, it struck me so much that I went to find you on Substack and subscribed. 1386 2:04:16 --> 2:04:18 Oh, fantastic. Thank you. 1387 2:04:18 --> 2:04:22 By the way, what was it you were talking about the last time? 1388 2:04:22 --> 2:04:27 I don't remember off the top of my head. 1389 2:04:27 --> 2:04:35 Yeah, and it's just that at a certain point, I started unsubscribing from everything online. 1390 2:04:35 --> 2:04:38 But I think you're doing great work and thank you again. 1391 2:04:38 --> 2:04:50 Thank you. And the other thing is my book, Vaccines Are Dangerous. I can guarantee you, no matter how much you think you know about vaccines, you're going to find new and valuable information and even information that might save your life. 1392 2:04:50 --> 2:05:00 So it's vaccines. www.vaccinesardangerous.blogspot.com has great statistics, graphs, and references. 1393 2:05:00 --> 2:05:08 And it's also a great book to hand to friends and family who they're just very resistant that you can't really convince them. 1394 2:05:08 --> 2:05:16 Anybody who reads my book walks away convinced. Nobody reads my book and walks away thinking they're going to, they want to go out and get a vaccine. 1395 2:05:16 --> 2:05:20 So for what it's worth. 1396 2:05:20 --> 2:05:27 So Sebastian, otherwise known as Zahriyel, you have three names. 1397 2:05:27 --> 2:05:49 Again, just wanted to give that name. That was Dr. Andreas Nowak, who was researching the graphene oxide or graphene hydroxide and was during one of his live streams that he was actually raided in Germany and the police went in and arrested him, etc. 1398 2:05:49 --> 2:05:54 That was not, however, the reason that everyone thought it was. 1399 2:05:54 --> 2:06:09 But incidentally or not, he was, he actually did die a couple of weeks later after a second life stream, which he did do on graphene hydroxide and that it was a microscopic or a nanoscopic razor blade that went through the system and sliced people up. 1400 2:06:09 --> 2:06:17 And he died. He died of a heart attack and he had no health issues whatsoever before this incident. 1401 2:06:17 --> 2:06:25 So, yeah, we can all say conspiracy theory, but also say that it is a that he was uncomfortable. 1402 2:06:25 --> 2:06:38 I had a personal friend who also was absolutely healthy and had a wonderful life ahead of him and got turbo cancer and he was not vaxed. 1403 2:06:38 --> 2:06:44 So he was also removed because he became very uncomfortable to the truth during that time. 1404 2:06:44 --> 2:06:49 Didn't Nowak's girlfriend say that he'd been murdered? 1405 2:06:49 --> 2:06:57 Yes, she did. And she thinks it was some form of weapon of directed energy weapon. 1406 2:06:57 --> 2:07:03 Exactly. Yes, I remember that now. So wasn't she present when he was arrested in that? 1407 2:07:04 --> 2:07:07 Am I imagining that? So out of feeling. 1408 2:07:07 --> 2:07:18 I don't know if she was present. I do remember that he was live streaming. It was during the time of of Ryan Fulmey's, you know, his investigative committee also. 1409 2:07:18 --> 2:07:27 So being a German, I was also watching that. So I did see the live stream was on the live stream when he was arrested and it was kind of like, wow. 1410 2:07:28 --> 2:07:35 But it was it was affiliated with a drug issue or a substance abuse issue in the building in which he was living. 1411 2:07:35 --> 2:07:41 So this is the story we were told. However, in retrospect, nowadays you really have to question everything. 1412 2:07:41 --> 2:07:43 Absolutely. Yeah. 1413 2:07:43 --> 2:07:51 Charles, we almost wrap you up because I got to be dashing shortly. It's I think over two hours. 1414 2:07:51 --> 2:07:57 So I think Charles is a bit early in the morning in Melbourne, Australia, Curtis. 1415 2:07:57 --> 2:08:07 So Charles gets up dutifully at well earlier than five o'clock, but it's five o'clock starts these meetings in Melbourne. 1416 2:08:07 --> 2:08:12 And so I think he falls asleep sometimes. Well, falling asleep now. 1417 2:08:12 --> 2:08:18 But most of the time, can can you take a question from Jeremy? 1418 2:08:18 --> 2:08:22 Sure. Yeah, two, three quick ones. 1419 2:08:22 --> 2:08:32 One is what are your views on the use of RNA in veterinary practice, you know, in animals? 1420 2:08:32 --> 2:08:37 And that that seems to be another very worrying developments. 1421 2:08:37 --> 2:08:41 And then two, I heard today talking to a friend. 1422 2:08:42 --> 2:08:53 I haven't seen this, but apparently they're developing some ticks which can affect people and make them effectively allergic to meat. 1423 2:08:53 --> 2:09:05 And apparently Gates has developed a pig which has a has a protein which isn't doesn't prevent doesn't doesn't produce an allergic reaction. 1424 2:09:05 --> 2:09:10 I don't know how true that is. And three, any comment on chemtrails? 1425 2:09:10 --> 2:09:15 I know we're going up. We're going off. I mean, I was out this morning. I'm over in Jersey. 1426 2:09:15 --> 2:09:23 We've had clear blue skies for ages and suddenly, literally, our skies are being crisscrossed at five thirty in the morning. 1427 2:09:23 --> 2:09:27 I was just up early and now we've you know, we've had a cloudy day and the whole lot. 1428 2:09:27 --> 2:09:32 We've just got haze up there and we've it's been noticeable since USI ID was shut down. 1429 2:09:32 --> 2:09:38 We haven't had any we've had clear blue skies throughout the past month, but that could just be hearsay. 1430 2:09:38 --> 2:09:41 OK, well, aren't our animals that's the main. 1431 2:09:41 --> 2:09:45 Yeah, I appreciate it. These very simple and brief questions to answer. 1432 2:09:45 --> 2:09:49 Yeah, I think our age of chemtrails. 1433 2:09:49 --> 2:09:59 OK, well, I'm really eager to do a book on the vaccines being given to people's pets because it's terrific. 1434 2:09:59 --> 2:10:06 It's terrific. And just on a common sense level, you look at the poisons that they're putting in the vaccines being given to humans. 1435 2:10:06 --> 2:10:13 You can only imagine the harm being done and what's going in the shots for animals. 1436 2:10:13 --> 2:10:16 I was watching our food supply. Obviously, that's the most. 1437 2:10:16 --> 2:10:26 Yeah, yeah. I was watching just recently some video clips on YouTube of animals afraid of going to the vet. 1438 2:10:26 --> 2:10:32 Literally, they don't want to get in a car. They want to go inside and they're terrified of the needles and things. 1439 2:10:32 --> 2:10:35 And, you know, at first I was like, it's funny. 1440 2:10:35 --> 2:10:41 But then I thought about it. What if these animals sense that what they're being given is poison? 1441 2:10:41 --> 2:10:46 And it is the vaccines from what I've read. 1442 2:10:46 --> 2:10:55 I haven't ended up the research on it yet, but the rates of cancer and other adverse reaction to a person's pet cat or dog, whatever, 1443 2:10:55 --> 2:10:59 is dramatically higher than it was many years ago before they had all these vaccines. 1444 2:10:59 --> 2:11:07 So my advice to pet owners is the same I would give to parents and adults who are considering vaccines. 1445 2:11:07 --> 2:11:12 Don't do it. At the very minimum, do the research and know what's in there. 1446 2:11:12 --> 2:11:18 We got to stop taking these blind leaps of faith when it comes to medicines. 1447 2:11:18 --> 2:11:21 I mean, this is not a religion. You got to know the facts. 1448 2:11:21 --> 2:11:26 And it's so easy now. When I was doing this research, I had to go to the stacks in the libraries, 1449 2:11:26 --> 2:11:30 the science libraries, and go through all those technical medical journals and things. 1450 2:11:30 --> 2:11:33 Now all you got to do is go to Google and pull it up. 1451 2:11:33 --> 2:11:40 If you want to know what the ingredients of a particular vaccine being given to cats or dogs, just look it up. 1452 2:11:40 --> 2:11:43 Get the name. You can look up the ingredients. 1453 2:11:43 --> 2:11:48 You can look up the known adverse reactions and then you can make an intelligent decision. 1454 2:11:49 --> 2:11:52 But we could no longer take these blind leaps of faith. 1455 2:11:52 --> 2:11:58 And there's so many parents who took that blind leaps of faith with their own children. 1456 2:11:58 --> 2:12:03 And now their children are autistic and suffer all kinds of horrible things. 1457 2:12:03 --> 2:12:08 So we have to stop the blind leaps of faith and do the research. 1458 2:12:08 --> 2:12:14 And I think if you do the research, you're going to walk away not wanting to give any vaccines to your pets. 1459 2:12:14 --> 2:12:18 Pets have been able to do fine for many, many years without vaccines. 1460 2:12:18 --> 2:12:23 I mean, no other creature needs a vaccine other than humans and domesticated animals. 1461 2:12:23 --> 2:12:30 I mean, pigeons don't need vaccines. Monkeys, squirrels, sharks, they all can do just fine without vaccines. 1462 2:12:30 --> 2:12:34 Absolutely. Yeah. So far as... 1463 2:12:34 --> 2:12:41 Curtis, can I ask, so someone who's having a couple who's having their first baby these days, 1464 2:12:41 --> 2:12:45 would you say that they shouldn't have any shots whatsoever? 1465 2:12:45 --> 2:12:51 It's very important, I think, because we all know someone who's having a first child, you know. 1466 2:12:51 --> 2:12:53 And just to... Sorry? Sure. 1467 2:12:53 --> 2:12:56 Based on the research I've done, I'll say no. 1468 2:12:56 --> 2:13:05 Under no conditions. In fact, I recommend parents getting a midwife and having the babies at home. 1469 2:13:05 --> 2:13:10 Because these hospitals are sneaking in and injecting babies and things without the parents' knowledge. 1470 2:13:10 --> 2:13:14 And also just the whole intimidation factor. You got doctors assigned to it, 1471 2:13:14 --> 2:13:20 the way doctors and nurses around you say, oh, the baby needs this for the survival, da-da-da-da-da. 1472 2:13:20 --> 2:13:23 It's easy to give in to that kind of pressure. 1473 2:13:23 --> 2:13:27 I think that the best thing you can do is have your baby at home. 1474 2:13:27 --> 2:13:32 Do it the natural way, the way humans have been doing since ever since humans have been on the planet. 1475 2:13:32 --> 2:13:35 Because there's too many poisons being given. 1476 2:13:35 --> 2:13:40 And then stuffing the baby with those baby formulas, which is bad. 1477 2:13:40 --> 2:13:43 Only the most breast milk should be given to a newborn baby. 1478 2:13:43 --> 2:13:48 So I think this is my opinion. Everybody's free to do their own research. 1479 2:13:48 --> 2:13:51 That's what it's really all about. Doing your own research. 1480 2:13:51 --> 2:13:56 I'm raising issues for people to decide for themselves whether or not they want to vaccinate their child. 1481 2:13:56 --> 2:14:01 If you want my opinion, look at the title of my book, Vaccines are Dangerous. That's just say it all. 1482 2:14:02 --> 2:14:07 Chemtrails. Yeah, I remember a number of years ago I was doing a radio interview. 1483 2:14:07 --> 2:14:14 And we then moved to the section where it was opened up to questions from the general public. 1484 2:14:14 --> 2:14:21 And a woman came on and asked me about the stuff they're spraying on people in the sky. 1485 2:14:21 --> 2:14:23 I said, what are you talking about? I thought she was crazy. 1486 2:14:23 --> 2:14:26 And then I asked her to get her off the line. 1487 2:14:26 --> 2:14:31 And then, lo and behold, a few weeks later, I started noticing the things she was talking about. 1488 2:14:31 --> 2:14:35 And it wasn't like contrails. It was contrails of water vapors. 1489 2:14:35 --> 2:14:40 And they evaporate almost immediately as the plane goes by at the other tip of the day. 1490 2:14:40 --> 2:14:47 Chemtrails, the thick lines of clouds, chemical clouds that linger in the sky long periods of time. 1491 2:14:47 --> 2:14:52 And then they slowly disperse creating a haze in the sky that most people think, 1492 2:14:52 --> 2:14:58 you confuse with thinking that's natural cloud formations, but it's not. 1493 2:14:58 --> 2:15:04 What I've read about the contents of the chemtrails is just frightening. 1494 2:15:04 --> 2:15:10 The heavy metals and things are in there. They've even found human blood cells in the right. 1495 2:15:10 --> 2:15:15 That's exactly it. I got tons of photos of that. And they're doing it right in front of us. They don't care. 1496 2:15:15 --> 2:15:21 It was really noticeable today. It was just a grid pattern across the whole sky, five o'clock in the morning. 1497 2:15:21 --> 2:15:26 Oh, yeah. They do Xs and circles and squares and all kinds of things. They don't care. 1498 2:15:26 --> 2:15:32 The elite think they were so dumbed down that we'll just tolerate it. And to a degree, they're right. 1499 2:15:32 --> 2:15:38 I mean, people have been writing about it, but there's been massive protests because this stuff would breathe you in. 1500 2:15:38 --> 2:15:42 It's getting into our reservoirs. We're drinking it. It's getting into our food supply. 1501 2:15:42 --> 2:15:46 And it's really frightening to think about the implications of that alone. 1502 2:15:47 --> 2:15:51 But yeah, in a nutshell, those are my thoughts on your three questions. 1503 2:15:51 --> 2:15:53 It's too big a question. I do apologize. 1504 2:15:53 --> 2:15:57 But the RNA in animals, I don't think should be ignored. I think that's really worrying. 1505 2:15:57 --> 2:16:00 You know, contamination of the food supply as well. 1506 2:16:00 --> 2:16:02 Yes, yes, definitely. 1507 2:16:02 --> 2:16:07 Well, Jeremy, despite the fact that they were rather broad, the questions, well, they were quick questions, 1508 2:16:07 --> 2:16:14 but covering larger areas of knowledge. But someone in the chat thought your questions were brilliant. 1509 2:16:14 --> 2:16:16 Thank you. Thank you, Curtis. 1510 2:16:16 --> 2:16:25 Curtis, can I just ask you quickly, do you think there was a pandemic and was there a reliable diagnosis of COVID-19? 1511 2:16:25 --> 2:16:30 Well, there was a public display of a pandemic, but I think it was a hoax. 1512 2:16:30 --> 2:16:39 As you know from my previous presentations here, the research that I've done and the various scientists, 1513 2:16:39 --> 2:16:44 those material I've reviewed indicate that viruses are nonsense. 1514 2:16:44 --> 2:16:51 There are no viruses. Nobody's ever collected a purified sample of any virus. 1515 2:16:51 --> 2:16:59 I did an interview with Cheryl Macy, and she actually reached out to over 200 medical facilities, hospitals, 1516 2:16:59 --> 2:17:07 universities in this country and other countries, asking them if they have a sample of the COVID virus or evidence. 1517 2:17:07 --> 2:17:17 The answer was no. None of them had it, and none of them could refer her to a medical institution that did have a sample of a COVID virus. 1518 2:17:17 --> 2:17:24 All the things that we have of COVID is just some computer generated nonsense. It's a hoax. It's a scam. 1519 2:17:24 --> 2:17:34 I've known this for decades because the first person to tell me this literally was an African American woman who was a university professor. 1520 2:17:34 --> 2:17:41 She told me point blank that viruses were bullshit and that you cannot grow them in a laboratory. 1521 2:17:41 --> 2:17:51 She was absolutely right. Over the years, I've encountered more and more doctors and scientists who have the courage to publicly step forward and say the same thing. 1522 2:17:51 --> 2:17:59 There were a number of them who in very small groups or private conversations would admit that viruses was a hoax. It's all a scam. 1523 2:17:59 --> 2:18:03 They wouldn't do it publicly. They wouldn't risk their careers. 1524 2:18:03 --> 2:18:09 But now we have more and more doctors and scientists who are coming forward for saying exactly the same thing. 1525 2:18:09 --> 2:18:18 It's time of a great awakening. I'm thinking about organizing an actual debate on the virus issue. 1526 2:18:18 --> 2:18:24 The only problem with the debate is we can easily get the people who say viruses don't exist. They're ready to go. 1527 2:18:24 --> 2:18:32 But the ones who are defending the medical establishment's notion of viruses, they don't want to debate. 1528 2:18:32 --> 2:18:36 Same thing with vaccines. The ones who defend vaccines, they never want to debate. 1529 2:18:36 --> 2:18:44 And that says a lot because people who have confidence in their positions, they want to debate. They want people to know what they've uncovered. 1530 2:18:44 --> 2:18:50 The ones who know what they're saying is wrong or suspect is wrong, they never want to debate. 1531 2:18:50 --> 2:18:52 And I think it's a shame. 1532 2:18:52 --> 2:19:03 It's a little bit obscured because the people who propagate the no virus, I'm prepared to accept that there's no such thing as a virus. 1533 2:19:03 --> 2:19:14 That the whole thing was a construct. That immunology, which kind of knew about the amazing immune system, not just of humans but of all animals, 1534 2:19:14 --> 2:19:22 and that God didn't need God, if you like, didn't need any help from these stupid vaccines which are created by humans. 1535 2:19:22 --> 2:19:35 You know, the immunology was replaced by virology and virology was all about creating a construct that's going to be threatened by us human beings by endless deadly pandemics. 1536 2:19:35 --> 2:19:37 You know, I think the whole thing was a construct. 1537 2:19:37 --> 2:19:46 I also think the gain of function thing is a construct because we learned at medical school that a deadly virus, if one believes in viruses, kills its host. 1538 2:19:46 --> 2:19:55 In other words, it can't spread the COVID-19. You know, if it's deadly or dangerous, it can't spread because... 1539 2:19:55 --> 2:20:21 Yes. Yeah. And on top of that, basically off of this virus mythology, they've managed to create a multi-trillion dollar global industry from the vaccines, from the antibiotics, from the tests, all these things center around the existence of a mythical virus, which when you look at the data that's out there, 1540 2:20:21 --> 2:20:39 they falsified laboratory results that claim to have isolated something, which was going to isolate something. Last thing we'll do is start mixing other things with it, which is exactly what they would do when they put these things into the petri dishes. 1541 2:20:39 --> 2:20:50 And then they add poisons and then they starve the material that's there. So the material that's left over, that's what they call it viruses, instead of just dead, stale material, which is what it was. 1542 2:20:50 --> 2:21:02 Yeah, they've created a multi-trillion dollar industry off of this myth. And the only reason it continues is that, you know, you don't hear the mainstream media talking about it. 1543 2:21:02 --> 2:21:11 And unless individuals are connected to groups like this and others that are out there, they're not going to get this information. But it has nothing to do with the lack of science. 1544 2:21:11 --> 2:21:28 I mean, we have plenty of scientists and plenty of hardcore data showing that there are no viruses. And you can explain somebody getting sick by, you know, their diet, their exercise routine, how much sunlight they're getting, simple things. 1545 2:21:28 --> 2:21:53 And we also, I also documented in my book, Vaccines are Dangerous, that these vaccines did not save the world from viruses. I mean, from measles and things, because all of these diseases from which vaccines were later developed had declined in some cases as much as 90% in the early 1900s to 60 before the vaccine came on the market. 1546 2:21:53 --> 2:22:11 And that's right. Nothing to do with any virus or any vaccines. And everything to do with improvements in sanitation and nutrition. You know, as they did a better job with sanitation, you know, sanitation systems, you remove trash from the streets, sewer systems, things of that nature, water filtration systems. 1547 2:22:11 --> 2:22:23 Well, the environment naturally became cleaner. And as they built more roads and highways and things, more fresh fruits and vegetables and getting to the cities. So people's immune system became stronger. 1548 2:22:23 --> 2:22:37 So two simple variables, improvements in sanitation and improvements in nutrition accounted for the declines of these various diseases forced to develop vaccines by as much as 90% or more before the vaccine came on the market. 1549 2:22:37 --> 2:22:49 But there's no money in that. There's no money in people keeping the environment clean and eating apples and things. All kinds of money made from people taking toxic injections. 1550 2:22:49 --> 2:23:02 And then the biggest money comes from the adverse reactions you'll suffer from the vaccine. It's like five, 10 times greater amount of money that they make from treating the adverse reactions they do from the initial vaccine. 1551 2:23:02 --> 2:23:07 So, no, I don't believe in viruses or COVID or anything like that. 1552 2:23:07 --> 2:23:15 So, Curtis, you know about AIDS and HIV. Was AIDS, in your opinion, was AIDS a false diagnosis? 1553 2:23:15 --> 2:23:33 Well, yes. I mean, it's not been well documented. They were what they were defining as AIDS initially was two conditions that were affecting homosexual males, promiscuous homosexual males. 1554 2:23:33 --> 2:23:39 One was pneumocytosis, queen pneumonia, and the other was the skin cancer called carposalcoma. 1555 2:23:39 --> 2:23:50 Yes, that's right. And those that's where was the definition of AIDS. But what most people didn't know at that time was that it wasn't just homosexual males. 1556 2:23:50 --> 2:23:58 It was very promiscuous homosexual males who were having multiple partners in a given week, and that caused a lot of trauma to the colon area. 1557 2:23:58 --> 2:24:02 And to alleviate that trauma, they were taking a drug called poppers. 1558 2:24:02 --> 2:24:13 And just so happens, among the symptoms of poppers was pneumocytosis, we need pneumonia and carposalcoma. The exact same two symptoms that define AIDS. 1559 2:24:13 --> 2:24:19 But instead of calling it a drug related condition, there's no money in that. 1560 2:24:19 --> 2:24:29 But there's plenty of money to say, well, this is not just limited to gays, gay men. It's a heterosexual disease that can be transmitted by a virus. 1561 2:24:29 --> 2:24:42 And they came up with a bogus, Dr. Gallo with a bogus test, claiming that it could show somebody had a virus and had this virus, which was all bogus and disproven. 1562 2:24:42 --> 2:24:53 And the number one test that they eventually started using a PCR test, Dr. Kerry Mullis, a Nobel Prize winner for his invention of PCR. 1563 2:24:53 --> 2:25:03 He's probably come out and stated multiple times on camera that his invention was never meant to be used as a test for a viral infection. 1564 2:25:03 --> 2:25:05 As a diagnostic test for viral illness. 1565 2:25:05 --> 2:25:17 Right. Right. And so he's the one that's why, you know, people suspect he was killed shortly before the COVID outbreak, because if he was alive, he would have been all over the air wasting. 1566 2:25:17 --> 2:25:20 No, no, no, you can't be using my PCR. 1567 2:25:20 --> 2:25:25 Yeah. So, Curtis, I think he had to be dead by January 2020. 1568 2:25:25 --> 2:25:27 Yes. Yes. Yeah. Ultimately. 1569 2:25:27 --> 2:25:33 So I think there's a strong possibility. I think that that's one death that needs to be investigated now. 1570 2:25:33 --> 2:25:36 Yes. Yes, definitely. 1571 2:25:36 --> 2:25:39 Very good. Thank you so much for talking to us, Curtis. 1572 2:25:39 --> 2:25:43 My pleasure. Thank you. And it's always an honor. And have a good evening.