1 0:00:00 --> 0:00:04 It's a big, it's a big real problem. 2 0:00:06 --> 0:00:12 Um, all right, let's get this show on the road. 3 0:00:12 --> 0:00:13 I'll do our intro. 4 0:00:15 --> 0:00:19 And as they're Stephen, hello, Stephen, you're bloody winter. 5 0:00:19 --> 0:00:21 I thought it's supposed to be summer still. 6 0:00:21 --> 0:00:22 It's freezing. 7 0:00:22 --> 0:00:25 It's about, um, I would guess about 14 today. 8 0:00:26 --> 0:00:26 Wow. 9 0:00:27 --> 0:00:27 Wow. 10 0:00:27 --> 0:00:32 Well, I'm excited because today is in Australia at 5 a.m. 11 0:00:32 --> 0:00:33 in the morning. 12 0:00:33 --> 0:00:34 It's the 28th of August. 13 0:00:35 --> 0:00:37 That means there's three more days of winter. 14 0:00:38 --> 0:00:41 As spring starts on the 1st of September, I'm excited. 15 0:00:41 --> 0:00:44 And anyway, all right, let's get this. 16 0:00:44 --> 0:00:47 Let's introduce Anders and we'll look forward to it. 17 0:00:47 --> 0:00:51 Welcome to today's discussion of medical doctors for COVID ethics. 18 0:00:52 --> 0:00:53 International. 19 0:00:53 --> 0:00:54 This group was founded by Dr. 20 0:00:54 --> 0:01:00 Stephen Frost during the darkest days of the COVID scam responses over two years ago 21 0:01:01 --> 0:01:05 with desire to pursue truth, ethics, justice, freedom and health. 22 0:01:05 --> 0:01:09 Stephen has stood up against government and power over the years and has been a 23 0:01:09 --> 0:01:10 whistleblower and activist. 24 0:01:11 --> 0:01:13 His medical specialty is radiology. 25 0:01:14 --> 0:01:18 I'm Charles Covets, the moderator of this group on Australia's passion 26 0:01:18 --> 0:01:23 provocateur, and my jacket is red because red is the color of passion. 27 0:01:23 --> 0:01:26 I practiced law for 20 years before changing career 30 years ago. 28 0:01:26 --> 0:01:31 And over the last 12 years, I've helped parents and lawyers to strategize 29 0:01:31 --> 0:01:36 remedies for vaccine damage and damage from bad medical advice. 30 0:01:36 --> 0:01:39 I'm also the CEO of an industrial hemp company. 31 0:01:39 --> 0:01:43 We comprise lots of professions, including doctors, lawyers, homeopaths, 32 0:01:43 --> 0:01:47 journalists, scientists, filmmakers, professors, peacemakers and troublemakers. 33 0:01:47 --> 0:01:49 And we're from all around the world. 34 0:01:50 --> 0:01:52 Many of us thought that vaccines were OK. 35 0:01:52 --> 0:01:56 Now, many of us proudly say, yes, we are passionate anti-vaxxers. 36 0:01:57 --> 0:02:00 If this is your first time here, welcome and feel free to introduce yourself 37 0:02:00 --> 0:02:02 in the chat and where you're from. 38 0:02:03 --> 0:02:07 If you publish a newsletter or a podcast or have a radio or TV show, or you've 39 0:02:07 --> 0:02:11 written a book, put the links into the chat so we can follow you, promote you 40 0:02:11 --> 0:02:16 and find you. Most of us understand we're in the middle of World War III and that 41 0:02:16 --> 0:02:19 there are various battle lines as part of this war. 42 0:02:19 --> 0:02:23 Some of us believe we are in a continuation of World War II. 43 0:02:24 --> 0:02:27 Most of us understand the development of science and that the science is never 44 0:02:27 --> 0:02:31 settled. This meeting runs for two and a half hours after which, for those with 45 0:02:31 --> 0:02:34 the time, Tom Rodman runs a video telegram meeting. 46 0:02:34 --> 0:02:38 Tom puts the links into the chat if you are able to join. 47 0:02:38 --> 0:02:43 We listen to Anders Brunstad, our guest presenter, for as long as Anders wishes 48 0:02:43 --> 0:02:46 to speak. And then we have Q&A. Stephen Frost, by long established tradition, 49 0:02:47 --> 0:02:50 asked the first questions for the first 15 minutes. 50 0:02:50 --> 0:02:54 There's no censorship. And Stephen closes with the last 10 minutes of questions. 51 0:02:55 --> 0:02:58 There is no censorship. It's a free speech environment with appropriate 52 0:02:58 --> 0:03:02 moderating. Free speech is crucially important in our fight to preserve our 53 0:03:02 --> 0:03:07 human freedoms, particularly with the threats again of further lockdowns, 54 0:03:07 --> 0:03:12 of further variants. All of us have to speak up freely. 55 0:03:13 --> 0:03:17 If you're offended by anything, be offended. We're genuinely not interested. 56 0:03:17 --> 0:03:22 We reject the offence industry that requires nobody to say anything that may 57 0:03:22 --> 0:03:26 offend another. We come with an attitude and perspective of love, not fear. 58 0:03:26 --> 0:03:30 Fear is the opposite of love. Fear squashes you. 59 0:03:30 --> 0:03:32 Love, on the other hand, expands you. 60 0:03:32 --> 0:03:35 If you have a solution or a product or links or resources that will help people 61 0:03:36 --> 0:03:42 put the details into the chat, a resource that I recommend to you is the sound of 62 0:03:42 --> 0:03:43 freedom. We talked about it a moment ago. 63 0:03:44 --> 0:03:49 On as of Friday night, sales in the US alone of sound of freedom were 64 0:03:49 --> 0:03:53 one hundred and ninety eight million dollars on a less than ten million dollar 65 0:03:53 --> 0:03:58 budget. This meeting is recorded, is uploaded on the Rumble channel. 66 0:03:58 --> 0:04:01 And now welcome to our guest presenter, Anders Brunstad. 67 0:04:02 --> 0:04:06 Thank you, Anders, for giving us your time and sharing your wisdom and insights. 68 0:04:06 --> 0:04:09 And thank you, Stephen Frost, again, for creating this group and for organizing 69 0:04:09 --> 0:04:11 Anders to speak to us today. 70 0:04:12 --> 0:04:14 Anders, over to you. 71 0:04:17 --> 0:04:26 Thank you, Stephen and Charles for the invitation to this really important 72 0:04:27 --> 0:04:30 public who listened to this and who shared that after. 73 0:04:31 --> 0:04:36 I'm not sure how many of you have heard about me. 74 0:04:37 --> 0:04:39 I know that some of you have. 75 0:04:40 --> 0:04:48 I've been working, I would say, full time this year to investigate and research to 76 0:04:48 --> 0:04:51 try to find out what's really going on. 77 0:04:51 --> 0:04:58 I started two, three years ago and I must admit I was on the wrong road for quite 78 0:04:58 --> 0:05:04 some time, misled by those who read false news. 79 0:05:05 --> 0:05:12 And I have, I think, learned from from my journey to try to find the truth. 80 0:05:12 --> 0:05:18 And I know that the truth, what I believe is truth may still not be the full truth, 81 0:05:18 --> 0:05:19 but there is the journey. 82 0:05:19 --> 0:05:27 And I've been doing really deep dive into subject matters, which very few or anyone 83 0:05:27 --> 0:05:37 has done, which is basically what we call all calls excess mortality analysis. 84 0:05:38 --> 0:05:43 And in order to do that in a proper way, after I found that I couldn't understand 85 0:05:43 --> 0:05:51 what was going on related to the assumption of that, there was a dangerous 86 0:05:52 --> 0:05:53 vaccine only. 87 0:05:54 --> 0:06:03 And I realised there was other contributing factors and that seemed to be 88 0:06:05 --> 0:06:06 what I call 5G at the time. 89 0:06:08 --> 0:06:16 And I had to establish a very kind of detailed, special all calls mortality 90 0:06:16 --> 0:06:27 analysis because I realised that then variations coming from radiation was not 91 0:06:27 --> 0:06:31 just by country, but by regions in the country. 92 0:06:31 --> 0:06:35 And we can call it for a metro and rural phenomena. 93 0:06:36 --> 0:06:43 And that caused a lot of extra work to define the sources and to analyse the 94 0:06:43 --> 0:06:45 sources of data, which I have done. 95 0:06:45 --> 0:06:52 So I thank you again for inviting me to present my research and I will go through it by 96 0:06:52 --> 0:06:55 sharing this for you. 97 0:06:55 --> 0:07:05 It is a huge presentation, but let's say I don't need to do everything at the same, 98 0:07:06 --> 0:07:07 let's say, level of detail. 99 0:07:08 --> 0:07:15 But there is a lot of information, but in order to try to be a little bit, 100 0:07:18 --> 0:07:29 let's say, in a way to be showing you just what I believe is the fact, but the theories 101 0:07:29 --> 0:07:34 and science which is established around it. 102 0:07:34 --> 0:07:43 So this is the story on many legs and it is so huge, let's say in the science community 103 0:07:44 --> 0:07:57 that few maybe have realised the real consequences of what this is all about. 104 0:07:58 --> 0:08:08 It is, I have discussed this many times with Dr Robert Oldham Young and some other 105 0:08:08 --> 0:08:17 scientists, including Olle Johansson and also Beverly Rubik. 106 0:08:17 --> 0:08:23 And I've been in touch with people like Arthur Fisterberger and others. 107 0:08:23 --> 0:08:29 So there is and I've not been in contact with, but I've been absorbing, let's say, the 108 0:08:29 --> 0:08:37 science work from many other scientists. 109 0:08:37 --> 0:08:45 I am not a scientist. I am more like, call it maybe a computer nerd or analytics. 110 0:08:45 --> 0:08:49 I can find and analyse data. 111 0:08:49 --> 0:08:54 It's not really my profession, but I've been doing it for 40 years. 112 0:08:54 --> 0:09:03 I am a kind of MBA out of the business school of Bergen, Norway, and I have, let's say, 113 0:09:03 --> 0:09:18 some skills and methodology, and I have had been previously into, let's say, studies where 114 0:09:18 --> 0:09:22 I have went into the theory of science. 115 0:09:22 --> 0:09:29 So I'm not blank, but I'm not doing this for a job. 116 0:09:29 --> 0:09:36 I've done this job in order to try to find out what is going on. 117 0:09:36 --> 0:09:41 And I had to do things which nobody else seems to have done because it may be hard and 118 0:09:41 --> 0:09:45 difficult to find the data and analyse the data. 119 0:09:45 --> 0:09:53 So basically, I want to present to you not just the data, but some philosophical theories 120 0:09:53 --> 0:10:03 and scientific theories and sourcing of substantiating what I believe I have found. 121 0:10:03 --> 0:10:11 And there will be some surprises to many of you, I guess, of what I found and maybe also 122 0:10:11 --> 0:10:13 my explanations to it. 123 0:10:13 --> 0:10:17 But let's say I don't claim to be 100% correct. 124 0:10:17 --> 0:10:26 I'm on the road to find the truth and I'm welcoming also opposing views if they can 125 0:10:26 --> 0:10:30 be documented in a good scientific way. 126 0:10:30 --> 0:10:40 And my analyses are based on observations, facts, data, and let's say the theoretical 127 0:10:40 --> 0:10:47 perspective of it, but also the historical perspective of the whole subject matter, let's 128 0:10:47 --> 0:10:50 say, in order to understand something. 129 0:10:50 --> 0:10:59 I had to go way back in time to try to find out what other people have researched and 130 0:10:59 --> 0:11:04 come to, let's say, more than 100 years ago. 131 0:11:05 --> 0:11:09 OK, so my two kind of questions. 132 0:11:09 --> 0:11:18 One, what does my all-cause excess mortality studies indicate as regards to the correlation 133 0:11:18 --> 0:11:26 and possible causation related to EMF, which is electromagnetic frequencies of 3G, 4G, 134 0:11:26 --> 0:11:28 and 5G to excess death? 135 0:11:28 --> 0:11:31 And my focus is excess death. 136 0:11:31 --> 0:11:38 I have also gone into some other parameters, but this is the gold standard to see how 137 0:11:38 --> 0:11:41 something affects the excess death. 138 0:11:41 --> 0:11:51 And second, what possible link can there be to the COVID-19 vaccination program, which 139 0:11:51 --> 0:12:00 additionally to the mRNA or DNA contains LNP or lipid nanoparticles, as well as at least 140 0:12:00 --> 0:12:06 partly graphene oxide and other conductive EMF metals? 141 0:12:06 --> 0:12:13 This is the main questions, and there are many other smaller or other questions, but 142 0:12:13 --> 0:12:17 let's say that the main ones. 143 0:12:17 --> 0:12:23 This is me some years ago in Jerusalem. 144 0:12:23 --> 0:12:26 I was there on a business trip. 145 0:12:26 --> 0:12:29 I'm a furniture guy. 146 0:12:29 --> 0:12:34 I have started my own business about 32 years ago. 147 0:12:34 --> 0:12:43 So let's say my education I had out of the local schools in Sykkylven, where I am born, 148 0:12:43 --> 0:12:52 and I was in the army in Norway, in Oslo, and I was studying at the evening course, 149 0:12:52 --> 0:12:57 examined Philosophic and Science Theory. 150 0:12:57 --> 0:13:03 Before I did my MBA study in Bergen four years after. 151 0:13:03 --> 0:13:07 I've been working for different companies. 152 0:13:07 --> 0:13:14 I was at DRT, Deloitte Rosto Matsu a year after my education. 153 0:13:14 --> 0:13:22 I was moving into family business, Hoge Möbler, and I started my own business. 154 0:13:22 --> 0:13:29 So it's a kind of long history, let's say, of business activities. 155 0:13:29 --> 0:13:38 I have above average, I would say, skills in computer science in general and modeling 156 0:13:38 --> 0:13:40 and programming. 157 0:13:40 --> 0:13:47 But let's say my deepest skills, I would say, is in all kinds of data analytics. 158 0:13:47 --> 0:13:48 Now it's called Excel. 159 0:13:48 --> 0:13:49 It was Multiplan. 160 0:13:49 --> 0:13:50 It was Lotus. 161 0:13:50 --> 0:14:00 And I've been working for, let's say, almost 40 years in such activities. 162 0:14:00 --> 0:14:04 So again, I'm very humbled to have been chosen by the great Dr. 163 0:14:04 --> 0:14:06 Stephen Frost and Charles Kovasz. 164 0:14:06 --> 0:14:12 I'm given the opportunity to speak to you tonight and to present my rather unique 165 0:14:12 --> 0:14:23 empirical research into the subject of EMF, which is, let's say, the radiation theory 166 0:14:23 --> 0:14:30 versus the mainstream virus narrative and related issues. 167 0:14:30 --> 0:14:37 So I'm passionate about my work and about life, and I hope that I can be able to contribute 168 0:14:37 --> 0:14:46 to, let's say, not just finding something, but to share it and to get it out. 169 0:14:46 --> 0:14:53 So this is more than just a different narrative from what I would call the mainstream media 170 0:14:53 --> 0:14:55 scientism. 171 0:14:55 --> 0:15:02 I would say it's a completely different paradigm contrary to the mainstream media. 172 0:15:02 --> 0:15:07 Its significance is enormous in so many ways and dimensions. 173 0:15:07 --> 0:15:15 So if you go back in history, most people knows about Louise Pasteur and the German 174 0:15:15 --> 0:15:22 theory and at the time Antoine Bicham's Plemorific theory. 175 0:15:22 --> 0:15:29 And this is one of the arms of what we are into here. 176 0:15:29 --> 0:15:40 We are also into the theories of Sigmund Freud, whether he was right in his main claims. 177 0:15:40 --> 0:15:50 At the time, there was also other theories which was kind of put under the carpet and 178 0:15:50 --> 0:15:53 now maybe start to come back again. 179 0:15:54 --> 0:16:02 So this is partly called Electrophoresis, but there are other names we can come back into. 180 0:16:02 --> 0:16:11 So in order to put the words into not my mouth, but somebody else's, there is a book written 181 0:16:11 --> 0:16:18 by Dr. Thomas Cowan about the truth, about contagion. 182 0:16:18 --> 0:16:26 And he goes to the core of the claim that about the Covid-19 pandemic, which is supposed 183 0:16:26 --> 0:16:32 to be a dangerous and infectious virus, which I myself also believed for a short time until 184 0:16:32 --> 0:16:34 I analyzed the data. 185 0:16:34 --> 0:16:43 So this is a narrative which is, we can call it scientism. 186 0:16:43 --> 0:16:56 They disregarded suddenly all the known, let's say, protocols for how to treat normal flu, 187 0:16:56 --> 0:17:02 let's say, what was flu symptoms, we can say. 188 0:17:02 --> 0:17:11 So Louise Pasteur, he kind of went into and claimed that there is this germ that causes 189 0:17:11 --> 0:17:23 disease and that was, let's say, covering not just one type of material, let's say, 190 0:17:23 --> 0:17:31 but also both virus and other, let's say, bacteria. 191 0:17:31 --> 0:17:38 Bacterias and viruses was the main content of this and still is, let's say. 192 0:17:38 --> 0:17:40 People still believe in that. 193 0:17:40 --> 0:17:49 So however, now we can look at the Covid-19 and we see by looking at facts and analyzing 194 0:17:49 --> 0:17:55 that what have been told to us may be questions. 195 0:17:55 --> 0:18:03 And I have done a lot of questioning and there are not just one kind of cause of increased 196 0:18:03 --> 0:18:08 mortality, there are minimum two, three, four. 197 0:18:09 --> 0:18:15 So it is not just whether it is a virus or 5G, it is much more complex story than that. 198 0:18:15 --> 0:18:21 But 5G is definitely part of it. 199 0:18:21 --> 0:18:32 And I'm sure most of you know that Wuhan in China put on 10,000 5G antennas between 1st 200 0:18:32 --> 0:18:38 of November and 31st of December 2019. 201 0:18:38 --> 0:18:43 So that is a fact and we saw that people got sick. 202 0:18:43 --> 0:18:46 So that's another fact. 203 0:18:46 --> 0:18:55 So what has the historical connection been to electromagnetic frequencies? 204 0:18:55 --> 0:19:02 Is it new or is it something which can have been going on for a long time? 205 0:19:02 --> 0:19:11 So is it the theory of the disease caused by germs or is it other reasons? 206 0:19:11 --> 0:19:15 That is fundamental for the science. 207 0:19:15 --> 0:19:18 And I'm fully aware of that. 208 0:19:18 --> 0:19:26 A lot of good scientists have been into this and I know that most people who have got higher 209 0:19:26 --> 0:19:37 education in medicine probably has been deceived more than they like to kind of accept. 210 0:19:37 --> 0:19:44 And so this is the basic narrative around my work. 211 0:19:44 --> 0:19:52 And I have been working, let's say, not just on my own, but I have had good assistance 212 0:19:52 --> 0:20:02 from both Dr. Robert Oldham Young as others, including my friend, Per Halle, another Norwegian. 213 0:20:02 --> 0:20:11 And together we have founded a new research organization we call the INRI, which is the 214 0:20:11 --> 0:20:19 Independent Narrative Research Initiative, which is headed by me and Dr. Robert Young. 215 0:20:19 --> 0:20:29 So and this is not only going into the narrative of the EMF, but it will also go into the global 216 0:20:29 --> 0:20:37 warming narrative that it is caused by human release of CO2. 217 0:20:37 --> 0:20:39 Personally, let's say I have been living in Poland. 218 0:20:39 --> 0:20:42 I was married. I am divorced. 219 0:20:42 --> 0:20:50 I have a father of two young boys playing football and living a good brother life in 220 0:20:50 --> 0:20:55 Poland. So I have higher education, as I said, and I have a lot of experience, let's say, 221 0:20:55 --> 0:21:06 in using applied software models to make models, my own models in mainly Excel types of program. 222 0:21:06 --> 0:21:10 But I've also been programming, let's say. 223 0:21:10 --> 0:21:20 So I went out of the Oslo University in 1986 on evening courses, and I at the same time was a 224 0:21:20 --> 0:21:28 soldier at the Norwegian headquarter of the army with a NATO top cosmic sequence clearance, 225 0:21:28 --> 0:21:36 where I trained at the age of 20 at the top brass to use a multiplan, the predecessor to 226 0:21:36 --> 0:21:43 Lotus one to three, to make tables, models for the defense budget of Norway. 227 0:21:43 --> 0:21:47 So the first it was called Document One. 228 0:21:47 --> 0:21:55 So that's step one in order to get the budget, which was then ready in the autumn of 1986. 229 0:21:55 --> 0:22:02 At the time, I wasn't at least I was rather fast running both medium and long distances. 230 0:22:02 --> 0:22:04 I then did five marathons. 231 0:22:04 --> 0:22:12 I my background is that I'm a son of a farmer and my father was a Sunday school preacher. 232 0:22:12 --> 0:22:16 I was at the time and I am still a Christian. 233 0:22:16 --> 0:22:18 I'm a mountaineer and played football. 234 0:22:18 --> 0:22:22 I was competing in slalom and telemark skiing. 235 0:22:22 --> 0:22:26 I've been fishing salmon and trout and hunting grouse and deer. 236 0:22:26 --> 0:22:31 And I've been enjoying fishing kind of game fish, sailfish in Thailand, in Mexico, 237 0:22:32 --> 0:22:38 and also the Great Barrier Reef of Queensland, Australia. 238 0:22:38 --> 0:22:42 I still do some mountain climbing or walking. 239 0:22:42 --> 0:22:50 This is about a week ago at the king of the sun, most alps, the slogan. 240 0:22:50 --> 0:22:54 And that was last Friday. 241 0:22:54 --> 0:22:56 With a friend. 242 0:22:56 --> 0:22:59 It's quite a story to get there. 243 0:22:59 --> 0:23:03 You can see the mountain to the photo to the left. 244 0:23:03 --> 0:23:05 It is majestic. 245 0:23:05 --> 0:23:09 It's with the king of alps in Norway, I will say. 246 0:23:09 --> 0:23:14 Even there is another one in northern Norway who has the official title. 247 0:23:14 --> 0:23:17 No offense, William. 248 0:23:21 --> 0:23:23 This is my two sons. 249 0:23:23 --> 0:23:30 They were here in July and we did some fishing and having a good time. 250 0:23:30 --> 0:23:38 This is me some earlier times in Thailand and Mexico and Norway fishing, enjoying life. 251 0:23:38 --> 0:23:42 In the nature. 252 0:23:42 --> 0:23:47 OK, so when I finished studying, I was one year in Oslo at DRT. 253 0:23:47 --> 0:23:51 And then I went to business at my uncle business. 254 0:23:51 --> 0:23:58 And I was working for 30 years and I started my own vertically integrated factory, 255 0:23:58 --> 0:24:07 furniture factory in Poland in 92 and in a town called Mukachevo in Ukraine in 2015. 256 0:24:07 --> 0:24:12 But due to the covid lockdown, that was killing what was left of my business. 257 0:24:12 --> 0:24:20 And it was impossible to travel to USA, Canada, UK and France to launch the new 258 0:24:20 --> 0:24:24 we call it OMG product line. 259 0:24:24 --> 0:24:29 So at the moment, I'm restructuring my furniture business and selling off properties 260 0:24:29 --> 0:24:35 in Poland and planning new investments in India, USA and Mexico. 261 0:24:35 --> 0:24:40 So at the moment, I work 100 percent on the in re research projects. 262 0:24:40 --> 0:24:48 I do believe it is of the utmost importance to establish empirical empirical research 263 0:24:48 --> 0:24:58 to convince people of the huge existential threats caused by electromagnetic frequency radiation. 264 0:24:58 --> 0:25:05 So I have opened two funding links at Give, Send, Go and GoFundMe. 265 0:25:05 --> 0:25:14 And if you use the keyword by NRI, that will take you to the links there. 266 0:25:14 --> 0:25:17 So I will come back to that later. 267 0:25:17 --> 0:25:29 So now into the research, let's say science versus scientism, EMF versus the virus narrative. 268 0:25:29 --> 0:25:37 The virus and the SARS-CoV-2 and vaccines, let's say observation, data and theories versus politics, 269 0:25:37 --> 0:25:41 my way or the mainstream media highway. 270 0:25:41 --> 0:25:50 So in order to go into this in a kind of philosophical way, I brought in the well-known, 271 0:25:50 --> 0:25:59 let's say, historical idea brought to us by the Platon, the Platonic cave. 272 0:25:59 --> 0:26:14 And it may be so that some people kind of are living in a narrative, a fictional reality, 273 0:26:14 --> 0:26:21 which has been created by people telling lies, basically. 274 0:26:21 --> 0:26:27 In this case, our case, we have the media and those behind the media and the people, 275 0:26:27 --> 0:26:37 some people, not so many, seeking the truth and maybe see some lights and get out of this kind of fictional cave. 276 0:26:37 --> 0:26:43 And they see something and they see light and it's some kind of reality. 277 0:26:43 --> 0:26:54 And this is, let's say, the context of many of our journey of actually being told so many lies. 278 0:26:54 --> 0:27:01 And we have believed them and we come to realize that it is not the truth we've been told. 279 0:27:01 --> 0:27:05 It's very hard to get through this process. 280 0:27:05 --> 0:27:12 I have a kind of relaxed attitude to my past mistakes. 281 0:27:12 --> 0:27:22 I accept them. I have been misled and I kind of accept that there is a road to get to the truth. 282 0:27:22 --> 0:27:28 And it is not a straight road. It is sometimes difficult to find the truth. 283 0:27:28 --> 0:27:37 And you may sometimes or rather often get the wrong information. 284 0:27:37 --> 0:27:45 So if you go back in some recent history, which is to the 1890s, 285 0:27:45 --> 0:27:55 we know a name called Robert Koch, who had his four at the time, a virus postulates. 286 0:27:55 --> 0:28:00 So in order to. So it is interesting that the time is 1890. 287 0:28:00 --> 0:28:08 I can say that 1890 is probably the first year there is a global virus claim. 288 0:28:08 --> 0:28:21 So he has created a scientific, let's say, protocol to verify whether such a virus exists. 289 0:28:21 --> 0:28:31 So whether it is more generic, it's a microorganism which must be found in abundance in all organisms suffering from the disease, 290 0:28:31 --> 0:28:35 but should not be found in the healthy organism. 291 0:28:35 --> 0:28:42 Two, the microorganism must be isolated from deceased organism and grown in pure culture. 292 0:28:42 --> 0:28:48 Three, the culture microorganism should cause disease when introduced into a healthy organism. 293 0:28:48 --> 0:29:02 Four, the microorganism must be re-isolated from the inoculated disease experimental host and identified as being identical to the original specific causative agent. 294 0:29:02 --> 0:29:07 This is a gold standard set up by Robert Koch as early as 1890. 295 0:29:07 --> 0:29:14 And we all know that nobody is doing that. 296 0:29:14 --> 0:29:21 There is another one about. 28 years later, this is Rudolf Steiner. 297 0:29:21 --> 0:29:29 I cannot say 100 percent this is correct, let's say, but this is what I have found in different sources. 298 0:29:29 --> 0:29:31 It's not written by him. 299 0:29:31 --> 0:29:41 It's written by those who wrote down what he said and different, let's say, scenario or where he was teaching what he had. 300 0:29:41 --> 0:29:45 He had a lot of many ideas, not maybe all were correct. 301 0:29:45 --> 0:29:54 But he said in 1918, after or during the Spanish flu pandemic, that about the virus. 302 0:29:54 --> 0:29:59 Well, viruses are simply excretions of a toxic cell. 303 0:29:59 --> 0:30:06 Viruses are pieces of DNA or RNA with a few other proteins they brought out from the cell. 304 0:30:06 --> 0:30:10 They happen when the cell is poisoned. 305 0:30:10 --> 0:30:12 They are not the cause of anything. 306 0:30:12 --> 0:30:23 So, again, I cannot guarantee it is his word, what he was writing, but a lot of what he said was not written by himself. 307 0:30:23 --> 0:30:25 It was by others. 308 0:30:25 --> 0:30:34 We have at the same time or actually earlier the story of Louis Pasteur and Antoine Béchamps. 309 0:30:34 --> 0:30:38 So it was about the germ theory versus environment. 310 0:30:38 --> 0:30:42 It's the same type of. 311 0:30:42 --> 0:30:45 Let's say information. 312 0:30:45 --> 0:31:00 And it has been written by many that at the end of his life, Louis Pasteur confirmed that the germ is nothing, that the terrain is everything. 313 0:31:00 --> 0:31:04 Again, this is said to be said of him. 314 0:31:04 --> 0:31:10 Then we have what I call the Freudianism, let's say. 315 0:31:10 --> 0:31:17 And what I've been seeing is that there are oxygen issues at the time. 316 0:31:17 --> 0:31:35 And I can go into this. It's called either electrophoresis or neurocirculatory asthenia, which is a diagnosis of some kind. 317 0:31:35 --> 0:31:40 And much later, we have this. 318 0:31:40 --> 0:31:59 Poen research team in 19 in June 1946, saying that neurocirculatory asthenia is a condition that actually exists and has not been invented by patients or medical observers, meaning pointing to Freud. 319 0:31:59 --> 0:32:08 It is not malingering or simply a mechanism arousing arouse during wartime for purposes of evading military service. 320 0:32:08 --> 0:32:15 The disorder is quite common, both as civilian and as service problem as a service problem. 321 0:32:15 --> 0:32:25 They objected to Freud term anxiety neurosis because anxiety was obviously a result and not a cause. 322 0:32:25 --> 0:32:33 And the profound physical effects of not being able to get enough air, meaning oxygen. 323 0:32:33 --> 0:32:43 But this is citation is taken from page 172 of the invisible rainbow of after Pistenberg. 324 0:32:43 --> 0:32:49 So how can we expose the fact that the emperor has no clothes? 325 0:32:49 --> 0:32:53 How can we get people out of their platonic caves? 326 0:32:53 --> 0:32:57 How can I make people believe in little me? 327 0:32:57 --> 0:33:09 Well, by exposing real data and observations inside the model of logic and the scientific process of the hypothetical deductive method. 328 0:33:09 --> 0:33:13 The intellect is searching for the truth, and I am on that path. 329 0:33:13 --> 0:33:16 I have been wrong so many times that I cannot count them all. 330 0:33:16 --> 0:33:25 The only way is to get out of the cave, turn off the TV, the influencers of deceit and lies and political propaganda and 331 0:33:25 --> 0:33:32 scientism and look for the light outside the cave. 332 0:33:32 --> 0:33:37 So I put this presentation into part two parts and several sections. 333 0:33:38 --> 0:33:49 I will now go into what I call the historical presentation with just a summary of headlines. 334 0:33:49 --> 0:34:00 So in 1989, 90, we can say we had the first huge increase of death. 335 0:34:00 --> 0:34:02 More than a million people have died. 336 0:34:02 --> 0:34:08 That was during the electrification following Tesla's patents. 337 0:34:08 --> 0:34:15 Prior to that, it was the introduction of the telegraph and the telephone. 338 0:34:15 --> 0:34:26 And it is reported in literature, a massive increase of mental disorders and diseases. 339 0:34:26 --> 0:34:40 So that was the two first global EMF post or correlated new phenomena. 340 0:34:40 --> 0:34:52 The third seems to have been the introduction of AM radio frequencies at the global level in 1917 to 20, 341 0:34:52 --> 0:34:58 initially initiated by the US Army in the First World War. 342 0:34:58 --> 0:35:03 And it is correlated to an extreme death toll. 343 0:35:03 --> 0:35:04 We know 20 or 50 million. 344 0:35:04 --> 0:35:07 It's hard to know, but huge amount. 345 0:35:07 --> 0:35:16 But it was not only, let's say, correlated to the AM radio frequencies. 346 0:35:16 --> 0:35:27 It was also to a massive experimental vaccination program initiated by the Rockets of the time. 347 0:35:27 --> 0:35:40 The fourth huge situation was happening in 1957 when the microwave radar and radar communication was launched. 348 0:35:40 --> 0:35:48 And at the time, we had the Asian flu, which killed several millions. 349 0:35:48 --> 0:36:02 In 1966 to 68, let's say 68, it was 24 large, strong US satellites launched for radiology, 350 0:36:02 --> 0:36:10 meaning microwave frequencies and other EMF frequencies. 351 0:36:10 --> 0:36:12 And that was covering the world. 352 0:36:12 --> 0:36:22 And we had at the time the Hong Kong flu of 1968, which killed millions. 353 0:36:22 --> 0:36:28 Then we had a 1G in 1980 and a 2G in 1981 about. 354 0:36:28 --> 0:36:33 But I've been doing research and there is not significant increase of death, 355 0:36:33 --> 0:36:42 but there were significant increases of flu like symptoms in literature in those two launches. 356 0:36:42 --> 0:36:51 Then excess death followed first with the launch of 3G, 357 0:36:51 --> 0:36:59 which was first launched in Scandinavia in about year 2000 and about three years later in UK, 358 0:36:59 --> 0:37:04 continental Europe, USA, etc. 359 0:37:04 --> 0:37:07 And it was launched in three phases. 360 0:37:07 --> 0:37:14 You had a 3G, you had three and a half G and 3.75G as they made it stronger and stronger. 361 0:37:14 --> 0:37:23 The 4G launch came in about 2010, 11, and at the time we had the swine flu. 362 0:37:23 --> 0:37:30 4G was not just one thing, it was two, three, four different upgrades coming. 363 0:37:30 --> 0:37:46 We know that NH, N1H1 came in 2015, and that was during an upgrade from 4G to 4G LTE Advanced. 364 0:37:47 --> 0:37:55 4G+, I'm not sure a lot of people know what it is, but that is a much stronger use of 4G, 365 0:37:55 --> 0:37:59 where you go from one active antennas in your phone to three. 366 0:38:01 --> 0:38:11 And they increase the frequency operation from mainly sub gigahertz to up to almost three gigahertz. 367 0:38:11 --> 0:38:20 So they increase the number of antennas three times and they partly increase the frequency also three times. 368 0:38:22 --> 0:38:31 And I have been really surprised to see the amount of increased death that has caused. 369 0:38:31 --> 0:38:33 That is a surprise, I must say. 370 0:38:33 --> 0:38:40 9G is a 5G, which we talked about earlier in Wuhan and later elsewhere. 371 0:38:40 --> 0:38:45 And we know there has been a correlated massive increase in excess death. 372 0:38:46 --> 0:38:52 And it's not just what we know about the Earth launch by the antennas. 373 0:38:53 --> 0:39:00 It is also launched from space from civilian satellites, so what you call Musk Starlink. 374 0:39:00 --> 0:39:07 And there is also military technology inside what is called the US Space Force, 375 0:39:08 --> 0:39:15 having been launched in the same time in Australia, in, 376 0:39:17 --> 0:39:22 let's say, Marshall Island and the north of Norway recently. 377 0:39:23 --> 0:39:29 And there's also the 5G out of the fiber optic network. 378 0:39:29 --> 0:39:37 Which is correlated to the launch of 5G and 4G plus for mobile communication. 379 0:39:37 --> 0:39:45 And we know about HAARP and let's say we know there is something called the direct energy weapon and 380 0:39:46 --> 0:39:51 they claim much of what is for weather modification or geoengineering. 381 0:39:51 --> 0:39:53 But let's say at least there is something. 382 0:39:54 --> 0:40:01 Let's say that the technology side of this, and there needs to be some kind of education for people to know all the differences. 383 0:40:01 --> 0:40:09 The 1G and 2G was low, rather low frequency, low output and mainly talk, not data. 384 0:40:10 --> 0:40:18 Then 3G went into digital and it went to 3.5G, 3.75G. 385 0:40:18 --> 0:40:26 And let's say there has been a gradual increase in the speed of data transfer. 386 0:40:26 --> 0:40:30 And it has also been increased the frequencies. 387 0:40:30 --> 0:40:40 So, for example, 3G could go to 2 gigahertz, more than double the 2G. 388 0:40:40 --> 0:40:48 So they have new technology and it is the frequency. 389 0:40:48 --> 0:40:52 And the frequency allows for the pulls. 390 0:40:52 --> 0:41:00 When you go higher frequencies, you can have a pulse or a modulation with a wider band carrying more data. 391 0:41:00 --> 0:41:06 So higher frequency meaning more data and more watts. 392 0:41:06 --> 0:41:10 I use the word watt because people understand it. 393 0:41:10 --> 0:41:20 So the number of watts per antenna has been going up and the number of antennas has been going up and the frequencies have been going up. 394 0:41:20 --> 0:41:30 And the bandwidth of the modulation, meaning there is a pulse with a change of frequency and then goes. 395 0:41:30 --> 0:41:40 It went from a small number of let's say 10 to 100 kilohertz to maybe a megahertz of bandwidth. 396 0:41:40 --> 0:41:52 OK. Then 4G plus has, as I wrote or talked earlier, has three antennas and it goes up to 3.74 gigahertz. 397 0:41:52 --> 0:41:58 So it is a much more powerful technology, but it is three antennas. 398 0:41:58 --> 0:42:08 And it can be combined with using of low frequencies like 700 to 900 megahertz up to 2.1 or 2.7 gigahertz. 399 0:42:08 --> 0:42:16 So you can reach the rural part of a country or place by using lower frequencies. 400 0:42:16 --> 0:42:28 Which may, for example, go five, six kilometers and frequencies above three gigahertz typically goes only 100 yards or very, very short distance. 401 0:42:28 --> 0:42:32 So the technology is important to understand. 402 0:42:32 --> 0:42:40 Let's say we are talking about I would call it a metro technology or a rural technology and 4G by the way. 403 0:42:40 --> 0:42:46 So 5G is a completely different technology. 404 0:42:46 --> 0:42:50 It's called phase array adaptive antennas. 405 0:42:50 --> 0:42:58 So it is a beam of up to typically 64 to 100 gigahertz. 406 0:42:58 --> 0:43:02 And it goes up to 3.7 gigahertz. 407 0:43:02 --> 0:43:10 So it is a beam of up to typically 64 antennas. 408 0:43:10 --> 0:43:25 But let's say the military technology of the latest, they use 32,000 active antennas in 5G technology and enormously powerful. 409 0:43:25 --> 0:43:45 So 64 active antennas and let's say your phone will connect to and depending on your use will then use many antennas and will find the frequencies which is available and the higher the better for the transfer. 410 0:43:45 --> 0:43:56 So typically as read by Ericsson and Nokia that they use 20 watt standing effect, but it doesn't mean there is only 20 watt. 411 0:43:56 --> 0:44:07 It means it's 20 watt per frequency and it can be many, many frequencies, which is part of the antenna. 412 0:44:07 --> 0:44:18 So the real 5G typically operate in Europe at two to four gigahertz in USA up to 26 to 38 gigahertz. 413 0:44:18 --> 0:44:28 And the speed is 200 to 1000 megabits and the 5G, 4G plus can also reach 200. 414 0:44:28 --> 0:44:34 But let's say it was up from about two megabit for the GSM base. 415 0:44:34 --> 0:44:51 So it's been 100 times increased in capacity of data transfer and it correlates to the same increase about in how much radiation has been put out. 416 0:44:51 --> 0:45:08 So you have city and metro, meaning that mobile phone systems, they can use this 5G mainly inside the cities, but also by fiber optic at homes in rural part of the world. 417 0:45:08 --> 0:45:20 The rural part of the world, they will then mainly use 4G because 5G at such high frequencies is not technically economically possible. 418 0:45:20 --> 0:45:33 But when they build out the 4G plus and 5G, they use its enormously amount of fiber, which has been put down also in rural Norway, rural Europe. 419 0:45:34 --> 0:45:48 Not so much, for example, in rural California or Canada, maybe because somebody has to pay for it and it may not be economically to do it when private company telecom should do it. 420 0:45:48 --> 0:45:57 So in the political and socialistic Europe, I would say the local community, your taxes are paying for fiber. 421 0:45:57 --> 0:46:13 So it's a different situation. But there is a linear increase about in the watt used, power used to get an increase, similar increase in the output. 422 0:46:13 --> 0:46:27 So on top of this, you will again find World Health Organization who are making the decisions on what is safe and effective, call it that. 423 0:46:28 --> 0:46:42 Under them, you have a kind of another NGO ICNIRP, which then defines the EMF guidelines. But these are all captured by the industry. 424 0:46:43 --> 0:46:57 But there are huge different regulations in, let's say, USA, Canada. In USA, they allow for 10 watt per square meter and they use frequencies up to 38 gigahertz. 425 0:46:57 --> 0:47:05 In Canada, it is up to 4.3 watt. And I think it is less than 4 gigahertz. 426 0:47:06 --> 0:47:19 In Norway and EU, they also, in UK, and they use this 10 watt per square meter and mainly less than 4 gigahertz of frequency. 427 0:47:19 --> 0:47:39 There is a huge exception to this, which is Switzerland, Poland, Lithuania, India, some nations. They have put the limit to 0.1 watt, 100 of the max. 428 0:47:39 --> 0:47:52 So there's a huge difference in regulation. And that is something I used to look for, what consequences higher and lower output have. 429 0:47:52 --> 0:48:02 So that's one of the reasons I included Switzerland, to see how come, what is the situation in Switzerland compared to, for example, New York City. 430 0:48:02 --> 0:48:18 So I rather early found Beverly Rubik as a real source of expertise in radiation. And she worked with Robert Oldham Young in the 90s. 431 0:48:18 --> 0:48:31 And together she, well, she made an early report in 98 or 2002 about, and she made an update in 21, which got peer reviewed. 432 0:48:31 --> 0:48:43 And she have been, let's say, doing research into the negative effects of 4G and 5G. 433 0:48:43 --> 0:49:06 I have, my analysis is to go into the timing of the 3G, 4G and 5G launches in a number of countries, including Norway, Sweden, Denmark, Switzerland, USA, Canada, and let's say California, England, Scotland, Wales, Northern Ireland and Ireland from a time period of 2003 to 2022. 434 0:49:06 --> 0:49:16 And what is in particular unique is that I have analyzed, let's say, a differentiation of metro and rural. 435 0:49:16 --> 0:49:27 So I found that to be very important in order to to look for the variation in radiation in rural and metro populations. 436 0:49:27 --> 0:49:42 This came out of my initial analysis of Norway, where I was so really surprised in January this year that I found such a huge difference of excess mortality in my local smaller communities compared to cities. 437 0:49:42 --> 0:49:49 It was a huge difference and I couldn't understand why it was so different. 438 0:49:49 --> 0:50:06 So that's why I'm sitting here now, because I found, I think the reason, which is the 5G or 4G, the radiation, there are differences in radiation, and that can be analyzed and into the data available. 439 0:50:06 --> 0:50:14 I've also gone into some empirical analysis of the data available in the data collection. 440 0:50:15 --> 0:50:24 I've also gone into some empirical empirical research, empirical research into the vaccines. 441 0:50:24 --> 0:50:36 And I'm supporting my work done by Robert Young and the Spanish group Ola Quinta Colonna and also to Beverly Rubik and the Canadian Dr Magda Havas. 442 0:50:36 --> 0:50:40 She has done very, very good work. 443 0:50:40 --> 0:51:04 So I will come into later the key findings of Beverly Rubik, which is very fundamental to understand both the COVID-19 symptoms, that these match those of radiation damage, and that the long COVID symptoms also matches the long COVID symptoms. 444 0:51:04 --> 0:51:20 And there is also a scientific peer reviewed paper who have, let's say, concluded that long COVID is not caused by, let's say, COVID or a claimed virus. 445 0:51:20 --> 0:51:28 Okay, so I come back to this. So I started in January, and I found that what I believed was not possible to be true. 446 0:51:28 --> 0:51:38 I found that the vaccination could not explain the differences in the mortality, the increased mortality. 447 0:51:38 --> 0:51:43 So in the beginning, it was something with the rural and metro. 448 0:51:43 --> 0:51:57 And I came to the idea or conclusion later that what is difference is that we didn't even have 4G plus locally and they had 5G in the cities. 449 0:51:57 --> 0:52:09 And here they have also introduced 4G plus in the rural, but not 5G, except for those who put it in their home through the fiber optic network. 450 0:52:09 --> 0:52:15 So this is a presentation of the, let's say, the virus narrative versus the EMF narrative. 451 0:52:15 --> 0:52:25 And I have been doing now this more or less for three years when I started the general COVID research and I looked for observations. 452 0:52:25 --> 0:52:36 And then I had to develop my own empirical research to find what I have looking at into the all-cause excess mortality. 453 0:52:36 --> 0:52:45 And I initially started with the COVID period and I found that I had to go more back and I went into 2015. 454 0:52:45 --> 0:52:57 And I went earlier to 2000, 2003 in order to look for, let's say, the earlier launches of 3G and 4G. 455 0:52:57 --> 0:53:01 So it was a lot of work to find all these data. 456 0:53:01 --> 0:53:14 I need to have a baseline data, which is then the average of typically three or five years as a base to evaluate variations out of the historical average. 457 0:53:14 --> 0:53:17 I also look for trend line. 458 0:53:17 --> 0:53:31 So that's so this is, let's say, some of that story I have been following a lot of the stories about damage done by the vaccination. 459 0:53:31 --> 0:53:37 And so that's the kind of part of it, let's say. 460 0:53:37 --> 0:53:41 So let's go into it now. 461 0:53:41 --> 0:53:55 So I start with Norway, what I found of the analysis of the second largest city of Bergen, which I spent four years as a student. 462 0:53:55 --> 0:54:05 And we can see that Bergen, they got 5G put on 13 of March 2020. 463 0:54:05 --> 0:54:25 And we can see immediately that something makes them different than what I call the control group, which is 43 smaller municipalities of Norway, which are, let's say, as a group bigger than Bergen. 464 0:54:25 --> 0:54:38 But the difference is that they are rural and they did not get 5G during 2020-22 period. 465 0:54:38 --> 0:54:46 And we see the development of the excess mortality per half year. 466 0:54:46 --> 0:54:52 And we can see that it is something going on in both the two groups. 467 0:54:52 --> 0:55:01 But if you look at the end point in Bergen, it is a 25% excess mortality all ages. 468 0:55:01 --> 0:55:06 And it is zero in the control group. This is all ages, three periods. 469 0:55:06 --> 0:55:14 So it's a huge difference in the city of Bergen compared to 43 smaller municipalities. 470 0:55:14 --> 0:55:28 And we see also that there is some spikes in the second half of 2020 and the second half of 2021 and the second half of 2022. 471 0:55:28 --> 0:55:37 And this is correlated to the time when the vaccinations were given. 472 0:55:37 --> 0:55:43 In 2020, they were given vaccines, flu shots. 473 0:55:43 --> 0:55:54 And some people claim that there was some graphene oxide in the first flu shot in 2020. 474 0:55:54 --> 0:55:56 I will not go into that. 475 0:55:56 --> 0:56:08 But what we see is that there is something going on out of the historical average in the second half at the timing or when they do shots. 476 0:56:08 --> 0:56:12 And here we see 80 plus age group. 477 0:56:12 --> 0:56:22 And let's say 80 plus, they are supposed to be the most vulnerable for viruses. 478 0:56:22 --> 0:56:33 We were told by the media that it is, let's say, a 4-5% risk of increased mortality in that group. 479 0:56:33 --> 0:56:50 What we see here is that Bergen has, during a three-year period, have 25% increased mortality in the 80 plus, while the rural 43 municipalities have a total of zero. 480 0:56:50 --> 0:56:59 But they have something happening in this half year when they did the vaccinations without saying anything more. 481 0:56:59 --> 0:57:03 But we also see it is kind of a bit up and down. 482 0:57:03 --> 0:57:08 But there is a huge difference. 483 0:57:08 --> 0:57:28 And it's very hard to keep the virus theory when a big group or the 80 plus have no increased mortality, while the other group has it. 484 0:57:28 --> 0:57:31 And what is the real difference? 485 0:57:31 --> 0:57:33 OK, they live in a city or rural. 486 0:57:33 --> 0:57:49 They live in a city where you have 5G or more radiation, or you live in local small places where they may not even have the fiber optic built out yet. 487 0:57:49 --> 0:58:03 If you see the younger age group, we also see that the 0 to 64 die with an excess mortality of above 15% in Bergen. 488 0:58:03 --> 0:58:18 And this is significant that the younger age group also had a higher mortality in Bergen, while in the rural there is no increase of mortality. 489 0:58:18 --> 0:58:23 This is Trondheim, the third largest city. 490 0:58:23 --> 0:58:27 We have information, and this is 65 to 79. 491 0:58:27 --> 0:58:36 The first part, OK, they got 5G put on also the 13th of March 2020. 492 0:58:36 --> 0:58:47 There is a spike in that half year, but it is not much going on until the first half of 2022. 493 0:58:47 --> 0:59:07 And what we know, retrospect, is that Trondheim put on the real 5G, which is what I call microcell antennas, which is the 3, 4, let's say 3 to 3.8 gigahertz. 494 0:59:07 --> 0:59:12 And there's 64 antennas and it's in the streetlights and everywhere. 495 0:59:12 --> 0:59:19 So they got this new technology in thousands of small antennas put out. 496 0:59:19 --> 0:59:24 It's a smart city, Trondheim, and we see it's very smart. 497 0:59:24 --> 0:59:31 They have almost 40% increase mortality in the age group of 65 to 79. 498 0:59:31 --> 0:59:35 But also the control group have increased mortality. 499 0:59:35 --> 0:59:38 And I will come back to that. 500 0:59:38 --> 0:59:43 But there is increased mortality in 65 to 79. 501 0:59:43 --> 0:59:54 And it is correlating to the timing of each jab. 502 0:59:54 --> 1:00:02 Both the 2021 flu jab and the COVID jabs in 2021 and 2022. 503 1:00:02 --> 1:00:07 Then there is a group I made, I made many groups. 504 1:00:07 --> 1:00:16 This is a group of smaller cities who did not get 5G early on, but in the same time like Trondheim. 505 1:00:16 --> 1:00:25 And we see that those who got 5G put on 2022. 506 1:00:25 --> 1:00:39 Those cities, they have about 18% increased mortality in all ages compared to zero in the control group. 507 1:00:39 --> 1:00:51 And if you go to all of Norway, which is then including both the smaller rural places and let's say everything. 508 1:00:51 --> 1:01:03 But we see all of Norway had 15% excess mortality during this three year period compared to zero in the control group. 509 1:01:03 --> 1:01:11 Now we jump to the states, New York City. 510 1:01:11 --> 1:01:17 And the other group is what I called rural six. 511 1:01:17 --> 1:01:27 Rural six is six smaller rural states in America, in USA. 512 1:01:27 --> 1:01:31 And New York City is New York City. 513 1:01:31 --> 1:01:36 And this is the time period of 2021, 22. 514 1:01:36 --> 1:01:40 And this is the age group 75 to 84. 515 1:01:40 --> 1:01:47 It was a huge spike in the mortality in New York City in 2020. 516 1:01:47 --> 1:01:53 And that is prior to the COVID shots. 517 1:01:53 --> 1:02:02 So that correlates to that they put on the 5G probably late 2019 and early 2020. 518 1:02:02 --> 1:02:07 And there is they put something on but not a lot. 519 1:02:07 --> 1:02:10 And then they put a lot more on in 2020. 520 1:02:10 --> 1:02:23 So what we see here is that during the three year period, there is about 10% excess mortality in the six rural states, which is really small. 521 1:02:23 --> 1:02:29 And this about 90% in New York City. 522 1:02:29 --> 1:02:35 It is nine times or so difference in excess mortality. 523 1:02:35 --> 1:02:45 So New York City, they got a lot in 2020 and also something later. 524 1:02:45 --> 1:02:49 This is 85 plus. 525 1:02:49 --> 1:02:58 And we see here that New York City, they suffered 50% excess mortality in three years. 526 1:02:58 --> 1:03:05 While the rural six, they suffered about 15% in this three year period. 527 1:03:05 --> 1:03:08 And it is an increasing trend line. 528 1:03:08 --> 1:03:15 So the trend line follows the increased vaccination jabs. 529 1:03:15 --> 1:03:18 It is going up in 21 and 22. 530 1:03:18 --> 1:03:25 And it's not much going on in 2020. 531 1:03:25 --> 1:03:30 So this is a kind of I have New York City. 532 1:03:30 --> 1:03:34 And then I have New York as a state. 533 1:03:34 --> 1:03:38 And then I have the difference, which is upstate New York. 534 1:03:38 --> 1:03:48 So this is inside New York State and you have the blue, which is New York City and the yellow, which is upstate New York. 535 1:03:48 --> 1:03:52 And this is the age group, young people, 45 to 64. 536 1:03:52 --> 1:04:02 And there is basically zero excess mortality in upstate New York, and it is 80% mortality in New York City. 537 1:04:02 --> 1:04:07 The red line is, let's say, the average. 538 1:04:07 --> 1:04:11 It doesn't tell you anything more. 539 1:04:12 --> 1:04:22 So if you go to the 85 plus age group, you find that yellow line, which is 85 plus in upstate New York. 540 1:04:22 --> 1:04:32 Basically, this really vulnerable group for the COVID SARS COVID 2 virus in upstate New York, there is no. 541 1:04:32 --> 1:04:44 Basically, no excess mortality while in New York City, you have 50% excess mortality in 85 plus. 542 1:04:44 --> 1:04:49 And we see that most of this happened before the jobs. 543 1:04:49 --> 1:04:54 In 80 in 2020, there is also something in 21, 22. 544 1:04:54 --> 1:05:06 But most of the excess death of 85 plus happened in those who lived in New York City. 545 1:05:06 --> 1:05:09 I can make a comment on it. 546 1:05:09 --> 1:05:13 Let's say 85 plus. 547 1:05:13 --> 1:05:24 Yeah, it is a bit surprised, but let's say they have probably not used the phone very much, 548 1:05:24 --> 1:05:33 but they've been exposed to either the antennas or people around them who have used it. 549 1:05:33 --> 1:05:45 And we see that those who are outside New York City, where there was no 5G, they have not suffered anything. 550 1:05:45 --> 1:05:54 And this is they all took a lot of jobs in 21, 22. 551 1:05:54 --> 1:05:57 So now I jump to Switzerland and Switzerland. 552 1:05:57 --> 1:06:02 Switzerland, this is the age group of 45 to 64. 553 1:06:02 --> 1:06:05 And it's not much going on. 554 1:06:05 --> 1:06:09 Basically nothing. 555 1:06:09 --> 1:06:11 Basically nothing. 556 1:06:11 --> 1:06:14 It's a little bit in 21. 557 1:06:14 --> 1:06:17 In 2020, nothing. 558 1:06:17 --> 1:06:21 It's a little bit in 21, 22, but I mean, this is. 559 1:06:21 --> 1:06:22 Yeah, it's 5%. 560 1:06:22 --> 1:06:31 OK, so this is not big if you compare to New York City and the other places. 561 1:06:31 --> 1:06:36 And Switzerland has 0.1 watt per square meter. 562 1:06:36 --> 1:06:40 And so the regulations are very strict. 563 1:06:40 --> 1:06:48 And those who are less than 65 basically have not suffered excess mortality. 564 1:06:48 --> 1:06:56 If you compare to other age groups, which is the 65, 79 and 80 plus, 565 1:06:56 --> 1:07:01 we see that those they have suffered the older age groups. 566 1:07:01 --> 1:07:03 They have suffered a lot. 567 1:07:03 --> 1:07:10 But the excess death in this three year period is, let's say, 30 to 40 percent, 568 1:07:10 --> 1:07:16 which is less than half of New York City and metro places. 569 1:07:16 --> 1:07:22 And we see that there is a spike in 2020 when they put it on. 570 1:07:22 --> 1:07:28 They put on also in March 2020, the 5G. 571 1:07:28 --> 1:07:37 Here you can see the weeks of 2020 when Switzerland put on the 5G. 572 1:07:37 --> 1:07:42 There is information from something called DTEK. 573 1:07:42 --> 1:07:49 And they are the regulators and they have given Ofcom, another kind of state actor, 574 1:07:49 --> 1:07:53 to launch these. 575 1:07:53 --> 1:07:58 They call it adaptive antennas. 576 1:07:58 --> 1:08:01 Which means 5G. 577 1:08:01 --> 1:08:09 In Switzerland, with the regulations they have, they are so strict that the tests came to the conclusion 578 1:08:09 --> 1:08:14 that the 5G did not give a bigger output than the 4G. 579 1:08:14 --> 1:08:23 So because of the regulations, they could put it on, but it's so weak that it didn't create a lot. 580 1:08:23 --> 1:08:26 But we see there is something going on. 581 1:08:26 --> 1:08:34 There is a 30 to 50 percent increase in mortality in the first weeks they put it on. 582 1:08:34 --> 1:08:40 When I did this analysis, I found something strange. 583 1:08:40 --> 1:08:43 As I mentioned earlier, when I did this 2020... 584 1:08:43 --> 1:08:50 Are you ready for a Caesar chicken salad? 585 1:08:50 --> 1:08:59 So what I found is that there was some kind of strange data. 586 1:08:59 --> 1:09:05 And I wanted to find out, I mean in baseline, meaning the average data. 587 1:09:05 --> 1:09:19 And I went back to it and I found that in 2015, which is the H1N1 or N1H1 claim of virus, 588 1:09:19 --> 1:09:30 there is a spike in excess mortality in even 45 to 64 during the launch of the LTE advanced, 589 1:09:30 --> 1:09:35 the 4G second generation. 590 1:09:35 --> 1:09:44 The third generation is the 4G+. 591 1:09:44 --> 1:09:47 Now I go to Canada. 592 1:09:47 --> 1:09:51 And it's very interesting data out of Canada. 593 1:09:51 --> 1:09:58 The red line, and this is 2020, and this is 85 plus age group. 594 1:09:58 --> 1:10:08 So something enormously happened in metro Canada, in metro provinces, meaning these are Quebec, 595 1:10:08 --> 1:10:15 British Columbia and Ontario versus the smaller ones. 596 1:10:15 --> 1:10:25 And we see there is a huge spike in excess mortality about in March, April, May. 597 1:10:25 --> 1:10:34 And there is also something happening later in the autumn, while basically nothing happened in the rural Canada. 598 1:10:34 --> 1:10:43 And when you analyze that deeper level, you go to each of the provinces. 599 1:10:43 --> 1:10:52 And you can see that Quebec had a huge increase in mortality and Ontario the same. 600 1:10:52 --> 1:10:58 British Columbia in kind of dark red. 601 1:10:58 --> 1:11:06 They had a really small one and they came in much bigger in August and November, 602 1:11:06 --> 1:11:20 while Manitoba and Alberta, they, well, Alberta got the small one in March, April, but a huge one in November, December. 603 1:11:20 --> 1:11:28 And Manitoba mainly got the huge one in November. 604 1:11:28 --> 1:11:41 So I was really interested to look for what kind of explanations such a variation could have in the provinces of Canada. 605 1:11:41 --> 1:11:47 This is 2020 before JAS, but this is very, very important. 606 1:11:47 --> 1:11:56 So I found that the companies who provide the services for telecom, Rogers and TELUS, 607 1:11:56 --> 1:12:08 they launched, Rogers launched the 5G networks in March 2020 in Montreal, Ottawa, Toronto. 608 1:12:08 --> 1:12:18 So that is basically Quebec and Ontario and Vancouver, which is British Columbia. 609 1:12:18 --> 1:12:27 So the second point is that TELUS launches 5G in Vancouver in June. 610 1:12:27 --> 1:12:39 OK, and there's a spike we can see. And in July, August and TELUS launches 5G in Winnipeg in Manitoba in November. 611 1:12:39 --> 1:12:48 So if you go back to this, so Manitoba, November, OK, we see, sorry to back here. 612 1:12:48 --> 1:13:00 So basically we find a perfect match to the timing of the launch by the different companies to the month they launched 613 1:13:00 --> 1:13:10 and the spike in excess mortality in 2020, which is then prior to the Covid jabs. 614 1:13:10 --> 1:13:27 So we can see that the younger age group suffered a high increase of 20 percent mortality in 2021 615 1:13:27 --> 1:13:34 compared to close to zero in rural. There is a spike, a short spike in rural, 616 1:13:34 --> 1:13:47 but it's a long abnormal increase in the metro Canada in the zero to 44 age group. 617 1:13:47 --> 1:14:01 So these are significant findings and correlating to the differences in EMF by this 5G, 4G plus. 618 1:14:01 --> 1:14:06 So and when I did this again in Canada, I also found what I call rotten eggs. 619 1:14:06 --> 1:14:12 Something happened in 2017-18, which I needed to go back to look at. 620 1:14:12 --> 1:14:25 And I found that late 2017 and into 2018, there was a big rather big spike or a spike in excess death. 621 1:14:25 --> 1:14:41 And I found also in this case that it correlates to the timing when TELUS increased the output speed by 50 to 100 percent. 622 1:14:41 --> 1:14:48 So again, the timing of this and this is the LTE increase. 623 1:14:48 --> 1:14:53 So this is it looks like before even the 4G plus. 624 1:14:53 --> 1:15:09 So I can just refer to some literature, which is as I referred to earlier, which is Beverly Rubik in 2021 and 1998. 625 1:15:09 --> 1:15:15 It is to Magda Hawass and Angela Chiang, her partner. 626 1:15:15 --> 1:15:22 And I also referred to the Cleveland study, which most of her heard about. 627 1:15:22 --> 1:15:31 And down the list, there is also something I called Villa et al, which I come back to, which is the long covid research. 628 1:15:31 --> 1:15:38 So OK, so now I go to California, 85 plus, and this is early days. 629 1:15:39 --> 1:15:53 So this is 3G and 4G early and we can see that there is a spike in excess mortality in 2003 when they put on the 3G. 630 1:15:53 --> 1:15:56 It goes in waves. 631 1:15:56 --> 1:16:01 We see an increase in 2005, 6 and 8, 9. 632 1:16:01 --> 1:16:05 And this is during the 3G. 633 1:16:05 --> 1:16:20 These three, the begin the first top and the second top and the third top correlates to the start of 3G, the three and a half G and 3.75G increases in output. 634 1:16:20 --> 1:16:28 And then we see at the last part of it what happened during the early launch of 4G. 635 1:16:28 --> 1:16:49 And these are some different counties and we see that small places like Santa Barbara and Sonoma wine country are different than, let's say, Sacramento partly and Ventura, which are more metro, I would say. 636 1:16:49 --> 1:17:01 And when we see the total excess mortality in this time period from the 10 year period from 2003 to 2013. 637 1:17:01 --> 1:17:04 This is early for 4G. 638 1:17:04 --> 1:17:06 This is not the 4G plus. 639 1:17:06 --> 1:17:19 And we see that it is between 100 and 200 percent excess mortality in this 10, 11 year period in this 85 plus. 640 1:17:19 --> 1:17:40 So you can imagine how what a challenge I have when I later shall make future or other analysis based on a historical average when the historical averages is including also excess mortality. 641 1:17:40 --> 1:17:55 If you say trend line, OK, there might be an element of trend in this, but that cannot explain the variation on the top two, which is then Sacramento and Ventura. 642 1:17:55 --> 1:18:08 They have almost double the total mortality than the others and there might be an element of trend line growth. 643 1:18:08 --> 1:18:22 The younger population, 65 to 74, they are typically, I would say, the most vulnerable for the EMF. 644 1:18:22 --> 1:18:35 Because what I have found is that when your body get to 65 year old, your immune system starts to deteriorate. 645 1:18:35 --> 1:18:41 You don't produce, let's say, simply put enough vitamin D in by yourself. 646 1:18:41 --> 1:18:46 So when you enter this time period, your risk go up. 647 1:18:46 --> 1:19:03 And we see here during the early launch of 4G LTE, there is an increase in mortality, not so much in the beginning and then gradually more. 648 1:19:03 --> 1:19:18 And when you look at the combined effect for the first three, four years, you see it's up to 50% or about 30 to 50% in a four year period. 649 1:19:18 --> 1:19:24 So it is quite significant in this 65 to 74 age group. 650 1:19:24 --> 1:19:40 And here we have some other places, counties, and we see by a surprise, but I will come back to that, San Francisco, a really compact city. 651 1:19:40 --> 1:19:51 They suffer basically no excess mortality, while others, they go up and we see now that Sonoma is much higher. 652 1:19:51 --> 1:19:57 And Santa Cruz and yeah. 653 1:19:57 --> 1:20:08 So there is a rather big variation, which is, which need to be explained, which I will try to do later. 654 1:20:08 --> 1:20:18 So this is an analysis done for 3G, 4G. 655 1:20:18 --> 1:20:37 And when I went to these statistics, I also wanted to try to analyze what I called rural small counties versus the big ones, and then something in between. 656 1:20:37 --> 1:20:59 So I defined four groups, one I called rural group with the assumption of low PMF, 4G, 5G, and then a small medium, medium, and then you had a compact city, kind of compact places and then big population counties as the D. 657 1:20:59 --> 1:21:20 So I created four groups. And what this is showing us during the early 4G launch in all ages is that this rural California in this all ages, they suffer no excess mortality. 658 1:21:20 --> 1:21:45 So basically, while the other ones suffer partly substantial, and if you look at the combined total accumulated excess mortality, you find that rural has about 5% increased mortality in total for a five year period. 659 1:21:45 --> 1:22:01 And the big one has 70%. It's 14 times higher or more mortality increase in the big ones than the small one. 660 1:22:01 --> 1:22:16 And then you have this compact medium in between. So you see a scale from very low and through the medium and compact going up to the big one with a much higher. 661 1:22:16 --> 1:22:29 And this is 4G beginning. 70% increased mortality beginning of 4G in the big places. 662 1:22:29 --> 1:22:47 If you go to the 85 plus, you find that the rural also comes much better out with 30% increased mortality in a five year period, which is about 6% or so per year. 663 1:22:47 --> 1:22:59 And we see that the big ones other ones they are at about 70% in this 85 plus. 664 1:22:59 --> 1:23:08 So, the trendline will not explain how come the rural is less than half. 665 1:23:08 --> 1:23:18 There is something in this big which is different than those rural. It's a rural versus city story. 666 1:23:18 --> 1:23:29 So, later, they launched these 4G plus with the two or three antennas. And this is the age group of 25 to 64. 667 1:23:29 --> 1:23:41 Again, there is nothing going on in the rural. And it is much more in the big population and the two others are in between. 668 1:23:41 --> 1:23:59 So, this is we see some waves which are different. So, it may be that there is a time delay that the rural get new technology later than the bigger. 669 1:23:59 --> 1:24:04 That's kind of a good assumption, I think. 670 1:24:04 --> 1:24:17 When you go to the 75 to 84, we see also, well, a bit surprise. They are all quite high between 20 and 35%. 671 1:24:17 --> 1:24:26 So, but it starts rather small and it is gradually increasing and it's some kind of waves. 672 1:24:26 --> 1:24:47 In the 85 plus, again, we see that the rural is very small increase or close to nothing and then the big population area has a significant higher mortality. 673 1:24:47 --> 1:25:04 So, this is something which put the, let's say, theory of radio smoke or radiation smoke being more in bigger places than rural places. 674 1:25:04 --> 1:25:13 So, basically, this is just going on and on. So, we see it. We see the trend. We see the pattern. 675 1:25:13 --> 1:25:22 And we see consistently, I would say, that this rural group comes better out. 676 1:25:22 --> 1:25:38 I struggle with some data from CDC. They don't give really good data for 2022. And so, I had to partly call it a day and use 2021. 677 1:25:38 --> 1:25:54 We see also that there is in the younger age group, it's a big variation and we see that there is a spike in 21, which is the year of the first two, three shots. 678 1:25:54 --> 1:26:08 But the difference, it's much worse, let's say, before the shot and after the shot, let's say, in the bigger population centers. 679 1:26:08 --> 1:26:17 This was 25 to 64. This is 65 to 74. So, we see also a big difference with the rural. 680 1:26:17 --> 1:26:28 Again, 65 to 74. This is the, yeah, this is total. We see it is rather dramatic. It is compared to Norway. 681 1:26:28 --> 1:26:37 This is much higher, much higher mortality than Norway. 682 1:26:37 --> 1:26:51 And much more than Switzerland. So, we need to see also the correlation to other places. 683 1:26:51 --> 1:26:55 Okay. 684 1:26:55 --> 1:27:05 So, I'm not sure it's a point to go through it more. This is the front line, the pattern. 685 1:27:05 --> 1:27:30 The rural population in California during the COVID period of high risk is claimed as zero, like in Norway, zero excess mortality during the COVID crisis, 686 1:27:30 --> 1:27:49 whilst the bigger population places have between 40 and 70. And this is not even including 2022. 687 1:27:49 --> 1:28:04 We go into some counties and see differences and there are big differences. Now I have been able to, well, some of the counties, I have data for 2022. 688 1:28:04 --> 1:28:17 So, we see that there is big variation. And Napa and Butte and Sonoma, they are low. And that is also San Francisco. 689 1:28:17 --> 1:28:26 And it is much higher in the other bigger counties. And San Francisco is very special, I must say. 690 1:28:26 --> 1:28:37 But so is London and Copenhagen and other cities. So, there is a need to explain later. 691 1:28:37 --> 1:28:45 Here we can see Sweden. Sweden is a really special country because it's like in America anyway. 692 1:28:45 --> 1:28:53 But most of the immigration, they came recently and they are partly with a different skin color. 693 1:28:53 --> 1:29:10 And there is a correlation of what is called SB, meaning foreign born. In Sweden, they have data for foreign born and they have 80% or more darker skin color. 694 1:29:10 --> 1:29:26 And what this indicates is that these foreign born, this is 65 to 75 age group, they suffer a much higher mortality. 695 1:29:26 --> 1:29:35 And this is during 2020, before the Jabs. They suffer a much higher mortality than the Swedish born. 696 1:29:35 --> 1:29:48 And my assumption is that they simply do not get enough sun or vitamin D. So, their immune system is not adapted for the more stressful situation, 697 1:29:48 --> 1:30:00 which was, I say, caused by the increased 5G radiation. And we see that Stockholm has a much higher excess mortality. 698 1:30:00 --> 1:30:14 It's up to 150% during April and May 2020 when they launched the 5G. 699 1:30:14 --> 1:30:30 The other age group, which is 74 to 84, we see the blue. This is in Stockholm. And they are Swedish born. The red is in Stockholm and they are foreign born. 700 1:30:30 --> 1:30:48 So, there is slightly higher excess mortality on the foreign born. And we see in Gothenburg, there is also, let's say, but much less excess mortality. 701 1:30:48 --> 1:31:01 And we see at the end, it's not a huge difference. So, it is the peak, which is at the time of the 5G launch. 702 1:31:01 --> 1:31:16 This is 85 plus, the oldest group. And we see that, again, Stockholm is high in blue with the Swedish born and even higher with the foreign born. 703 1:31:16 --> 1:31:27 And we see in Gothenburg, it is much lower in yellow than green. So, the foreign born have higher mortality. 704 1:31:27 --> 1:31:35 So, there is something going on with, I call it vitamin D. 705 1:31:35 --> 1:31:52 So, we see here 65 to 74 and we see a huge difference. The two big ones, this is the 65 to 74. They are foreign born in Gothenburg. 706 1:31:52 --> 1:32:15 And the dark red is foreign born in Stockholm. So, if in that age group, the Swedish born have not had a big COVID death, we can say, but in Gothenburg and Stockholm, if you are foreign born, you have a much worse situation. 707 1:32:15 --> 1:32:25 So, this is 85 and basically, it is at least partly the same. 708 1:32:25 --> 1:32:47 And we see here 65 to 74. Here I go into different classification. I call it for rural or metro. And we see those who are metro, foreign born, they are the highest. 709 1:32:47 --> 1:32:52 And then you have the rural foreign born, they are the second highest. 710 1:32:52 --> 1:33:08 So, foreign born, they suffer. Again, I kind of blame the radiation as well as the lack of maybe vitamin D. 711 1:33:08 --> 1:33:22 So, this is Denmark. There's a huge variation. And what we need to look at mainly is that Copenhagen is completely different than the rest of it. 712 1:33:22 --> 1:33:51 Here we see the general situation for all of Denmark, which is following a trend line, which is the same in Norway and much of Europe. You have a big increase starting in July 2021, which just goes up and up, which correlates to both jabbing and EMF. 713 1:33:51 --> 1:34:11 There is again 60 to 79. Copenhagen is completely different than the rest of it. I can kind of give a hint to that. I have a friend who lives just outside Copenhagen and he's quite a smart guy. 714 1:34:11 --> 1:34:30 And he kind of gave me what he believed being the reason for this. And he says, he said this, that those who live outside the big cities, they spend a lot of time in the car or in the train or in the bus to commute to the city. 715 1:34:30 --> 1:34:42 And they use the phone intensively during those maybe two, three hours per day. So, they have a much higher exposure to radiation. 716 1:34:42 --> 1:35:07 When you spend the time, more time doing that compared to those who live inside, who have much shorter distance to the work. And then this kind of theory fits not just Copenhagen, but also London and many other cities. 717 1:35:07 --> 1:35:33 So, this is Copenhagen, something strange. This is England and Wales and we can see, this is the whole 4G period. And we can see there is up to 70% increased mortality in all ages. 718 1:35:33 --> 1:35:48 And it is a big variation. Bristol is zero. And this is the northeast of England. And we see also again, it's a big variation. 719 1:35:48 --> 1:36:05 Which, but we see that you can see the graphs, they move synchronized and the beginning is a spike. What is the timing of when they start the 4G? 720 1:36:05 --> 1:36:30 And then you have two or three upgrades when you go from 4G to 4G LTE and to 4G+. And we see, yeah, there is 4G+, coming in in 2018. It's the highest one. 721 1:36:30 --> 1:36:46 So, what was a surprise is that this is the 4G period of the different parts of London. And in the London has the same exact same pattern like Copenhagen. 722 1:36:46 --> 1:37:02 They have basically no excess death, while those who are outside London and commuting to London, they have much higher excess mortality. 723 1:37:02 --> 1:37:29 This is the 5G launch. And we can see there is a synchronicity. They are moving in the same timing, but to different effects. 724 1:37:29 --> 1:37:51 This is East Midland type of counties. And this is much more special. Here you can see the timing of excess mortality that London started earlier than Outer London. 725 1:37:51 --> 1:38:14 So, if I went to include the last half of 2019, I would have found that the 5G was put on late 2019 and inside City of London, while outside it came later. So you see different waves. 726 1:38:14 --> 1:38:33 And you see the same. And London has a lower, I mean City of London, have a lower excess mortality than those who commutes into London. 727 1:38:33 --> 1:38:37 The different things all the time. 728 1:38:37 --> 1:38:50 Scotland has a different jurisdiction and we see that the all of Scotland has not much going on during 4G. 729 1:38:50 --> 1:39:09 While there is a huge variation, in Aberdeen City, they have done like London and Copenhagen, no excess and some other places have much higher excess mortality. 730 1:39:09 --> 1:39:13 870 to 79. 731 1:39:13 --> 1:39:29 And here we have England and Wales. We see a combined different jurisdiction. We see Aberdeen City, nothing and we see all of Scotland and we see Aberdeenshire. 732 1:39:29 --> 1:39:34 So it is huge variations and is 80 plus. 733 1:39:34 --> 1:39:42 Aberdeen City like Copenhagen, no excess mortality in COVID or 80 plus. 734 1:39:42 --> 1:39:46 Before COVID. 735 1:39:46 --> 1:40:02 So we have a study for Ireland, Republic of Ireland, and we can see that there is something happening at the launch of 3G in 2003. 736 1:40:02 --> 1:40:12 There is something happening in 2006, 7, 8 when they added more frequency or bandwidth. 737 1:40:12 --> 1:40:23 We see that the 75 age group and the highest age have the worst result. 738 1:40:23 --> 1:40:28 This is 739 1:40:28 --> 1:40:32 the same different age groups. 740 1:40:32 --> 1:40:39 It's not dramatic. This is during the 3G. 741 1:40:39 --> 1:40:47 So it is like a 10% increase in total for the 75 year plus. It is something, but it is okay, 3G. 742 1:40:47 --> 1:41:07 In 4G, it is dramatic. We see that it goes and it starts in 2013 with about 10, 15% excess mortality and it kind of stabilizes at that level per year. 743 1:41:07 --> 1:41:12 And so this is 744 1:41:12 --> 1:41:25 65 to 90% excess mortality during this time period for 65 to 74 and 75 now. 745 1:41:25 --> 1:41:32 So this is pre 2020. 746 1:41:32 --> 1:41:38 Again, pre 2020. 747 1:41:38 --> 1:41:49 So here we see 2020 and 21. They have not published 22 in Scotland for some funny reasons. 748 1:41:49 --> 1:41:52 80 plus. 749 1:41:52 --> 1:41:57 We see there is a comparable to Norway. 750 1:41:57 --> 1:42:03 About 15, 20% increase mortality. 751 1:42:03 --> 1:42:11 But again, there is a huge variation from about 5% in 752 1:42:11 --> 1:42:23 Abaddon city and 23, 4% in Edinburgh. So, so it kind of, okay, this is two years, but it shows something. 753 1:42:23 --> 1:42:33 I want to refer to the research by Ruby in the paper. 754 1:42:33 --> 1:42:45 So she concludes that wireless radiation is an electromagnetic toxin and stressor and poses hazard to our health. We are all at risk. 755 1:42:45 --> 1:43:01 5G is expected to be more hazardous than previous wireless generations involving 4G densification, beam forming, numerous emitters, higher radiation level and greater bandwidth. 756 1:43:01 --> 1:43:13 Wireless exposure with its adverse health effect may be an environmental stressor in COVID-19 that increased both prevalence and severity of the disease. 757 1:43:13 --> 1:43:18 Long COVID may be accelerated by wireless exposure. 758 1:43:18 --> 1:43:27 Wireless exposure may also accelerate adverse effects from C-19 vaccines. 759 1:43:27 --> 1:43:30 Key word, graphene oxide. 760 1:43:30 --> 1:43:41 We recommend a moratorium on 5G in order to conduct the global environmental assessment and safety studies by independent science. 761 1:43:41 --> 1:43:51 Then she's going into the types of all the symptoms. Disturbed sleep, headache, other pain. 762 1:43:51 --> 1:43:56 Nose bleeds and ear bleeds. 763 1:43:56 --> 1:44:11 Tinnitus, ringing in the air, fatigue, skin abnormalities, irregular heartbeats, impairment of memory and concentration, anger and behavior issues, anxiety, irritation, depression. 764 1:44:11 --> 1:44:20 These are going all the way back to the 1860s. 765 1:44:20 --> 1:44:28 Then you have the type of parallelity of the so-called 766 1:44:28 --> 1:44:34 adverse health effects. 767 1:44:34 --> 1:44:40 And basically we find that the microwave exposure 768 1:44:40 --> 1:44:53 have the same type of adverse effects, which was claimed to be those coming from this so-called COVID-19 virus. 769 1:44:53 --> 1:44:59 I've also referred to Magda Haavas. She has published 770 1:44:59 --> 1:45:04 a presentation was given to NCI 771 1:45:04 --> 1:45:15 in Canada in April and she's going into this in a very, very detailed level and very good way. 772 1:45:15 --> 1:45:22 So that is something which is really important to get into. 773 1:45:22 --> 1:45:28 So I also referred to a study 774 1:45:28 --> 1:45:35 which was published in 30th of March this year, 775 1:45:35 --> 1:45:41 which analyzed 776 1:45:41 --> 1:45:44 empirically 777 1:45:44 --> 1:45:51 so-called conditions of COVID-19 and long COVID among young adults 778 1:45:51 --> 1:45:55 and what risk factors. 779 1:45:55 --> 1:45:59 And basically the findings 780 1:45:59 --> 1:46:11 was that this cohort study included 382 SARS-CoV-2 positive individuals and a control group of 85 SARS-CoV-2 negative individuals, 781 1:46:11 --> 1:46:20 individuals aged 12 to 25 years, who were assessed at the early convalescent stage and at six months follow up. 782 1:46:20 --> 1:46:33 When applying the World Health Organization case definition of PCC, prevalence at six months was 49%, but was also comparable high 47% in the control group. 783 1:46:33 --> 1:46:41 So the conclusion is that they could not attribute the long COVID to having had the 784 1:46:41 --> 1:46:46 positive result earlier. So there is basically 785 1:46:46 --> 1:46:55 no valid claim that long COVID is due to having a positive COVID test. 786 1:46:55 --> 1:47:02 The third section, the second section I won't go into now. 787 1:47:02 --> 1:47:04 I will do it rather briefly. 788 1:47:04 --> 1:47:11 It's a new research I did and it's a rather big one, but I will go into the key points. 789 1:47:11 --> 1:47:18 In northern Norway in period of May to August 23. 790 1:47:18 --> 1:47:28 In northern Norway, there is a small seagull living by the coastline, which in English is called kitty wake. 791 1:47:28 --> 1:47:33 It is about 500 grams in weight. 792 1:47:33 --> 1:47:42 It is a fourth to a fifth in size compared to the bigger seagull species. 793 1:47:42 --> 1:47:53 The first observation of death was mid-May in just north of a city called Hastad. 794 1:47:53 --> 1:48:20 And later in June, July, these kitty wakes were found dying 800 kilometers more to the east in Bærlevåg, Vardø, Vatsø, around a peninsula called Hadanger. 795 1:48:20 --> 1:48:39 The first place had not so many dead birds, but they were falling out of their nesting area, half dead or dead. 796 1:48:39 --> 1:48:48 More north, they were dying in big quantities, tens of thousands. 797 1:48:48 --> 1:49:03 And the state Norwegian authorities immediately came up with a claim that it was a new bird virus. 798 1:49:03 --> 1:49:07 At the same time in Poland, they also claimed the same. 799 1:49:07 --> 1:49:09 There was a new bird virus. 800 1:49:09 --> 1:49:17 In Poland, it was birds and cats who died all across Poland. 801 1:49:17 --> 1:49:43 What is comparable between Norway and Poland in May, June, July was that they in the rural part in Norway put on this 4G+, in north of Norway, and all over Poland they launched what they called 5G Ultra, 802 1:49:43 --> 1:49:45 which is a marketing name. 803 1:49:45 --> 1:49:55 The content was 4G+, with three antennas between 2.1 GHz and 2.7. 804 1:49:55 --> 1:50:00 And in Norway, it was the same, but partly lower frequencies. 805 1:50:00 --> 1:50:03 So that was happening at the same time. 806 1:50:03 --> 1:50:07 But it was not the only thing which happened in Norway at the same time. 807 1:50:07 --> 1:50:09 And that I'll come back to. 808 1:50:09 --> 1:50:13 So these birds, we see one hanging out here. 809 1:50:13 --> 1:50:16 It's half dead or dead. 810 1:50:16 --> 1:50:24 It's in the nest, taking care of the eggs and falling out dead. 811 1:50:24 --> 1:50:36 This kitty quake is already 80% extinct compared to how it used to be in the 70s. 812 1:50:36 --> 1:50:52 So another study I want to show is biological damage to nature, I would say, in rural Norway. 813 1:50:52 --> 1:50:56 I will go quickly through it. 814 1:50:56 --> 1:51:10 It is a different story, but it's interesting to see that there are different things. 815 1:51:10 --> 1:51:16 Not just animal life, but also plants. 816 1:51:16 --> 1:51:32 So as I came back to Norway on 17 July, I went to Oluse in 20 July, and I made some observations, which I would like to share with you. 817 1:51:32 --> 1:51:41 So this is the local place where I grew up, took a bus here to go to high school. 818 1:51:41 --> 1:51:53 And in about May this year, they put up a new 40-tas antenna about one kilometer away. 819 1:51:53 --> 1:52:01 And that was not there in March when I was told last time. 820 1:52:01 --> 1:52:07 So I come up here, so these are the observations. 821 1:52:07 --> 1:52:17 There is the bus stop, there is some dead birds with some dead trees somewhere. 822 1:52:17 --> 1:52:27 So right behind the bus stop, there is a maple tree which is dying. 823 1:52:27 --> 1:52:34 And it is straight in line between the bus stop and the new antenna. 824 1:52:34 --> 1:52:40 Maple trees to the left of it are fine, just two, three meters away. 825 1:52:40 --> 1:52:54 And some people claim that this could be the road salt during wintertime, but in that case, all the trees should show it and not just two or three. 826 1:52:54 --> 1:52:58 So there is a straight line to the mast. 827 1:52:58 --> 1:53:07 There are maybe 10 to 15 youth going there every morning, going to the school. 828 1:53:07 --> 1:53:12 They come back and most kids these days, they use their phone. 829 1:53:12 --> 1:53:20 And this year, they have got the 4G+, the last few months. 830 1:53:20 --> 1:53:28 I went to a trip with my kids and on the way back, I saw a dead bird by the road. 831 1:53:28 --> 1:53:35 And when I looked, when I was at the road and I looked at the antenna, it was on a line with that. 832 1:53:35 --> 1:53:41 I will not say this is a causation, but it was in line. 833 1:53:41 --> 1:53:53 We went up to this place called Regndalen and there is zero coverage of 3G, 4G when you get in there. 834 1:53:53 --> 1:54:00 And when you leave the place, you get to the ridge and you look down and, oh, I have got mobile phone connection. 835 1:54:00 --> 1:54:06 People stop there and they use the phone. They send photos, they talk or what they do. 836 1:54:06 --> 1:54:23 And in a straight line from that place, when you get the 5G or 4G+, the vegetation dies in the clear direction to the new antenna. 837 1:54:23 --> 1:54:35 So what happened in Norway is that they went from rather low 4G LTE in March, April till new 4G+, 3 antennas. 838 1:54:35 --> 1:54:42 And they use these partly with low frequencies and partly between 2.1 and 2.7. 839 1:54:42 --> 1:54:52 So it's about six times more radiation. And that happened this year. 840 1:54:52 --> 1:55:00 There is more things and dead mouses, etc. 841 1:55:00 --> 1:55:06 This is the main city center or town center of Cykelvenn. 842 1:55:06 --> 1:55:14 And there is a bus stop and we see there is an antenna, also new 4G, was not 4G+, there in April. 843 1:55:14 --> 1:55:18 And the kids, this is photo from Thursday this week. 844 1:55:18 --> 1:55:24 There is high schools and kind of gymnasiums, hundreds of kids. 845 1:55:24 --> 1:55:36 And they come there in the morning and they go there at 2.30 or so in the afternoon and they wait there and they wait for the bus and they use the phone. 846 1:55:36 --> 1:55:39 Most of them, many of them. 847 1:55:39 --> 1:55:44 Right behind that, you see the antenna on the map here. 848 1:55:44 --> 1:56:00 You see this bus stop. And in the straight line, between the bus stop, some trees are dying. 849 1:56:00 --> 1:56:06 So again, it's the same theory, something. 850 1:56:06 --> 1:56:13 This is the next village or town, municipalities called Stranda. 851 1:56:13 --> 1:56:22 They have two, one main installation down in the town, main hub, I call it. 852 1:56:22 --> 1:56:26 And then you have the main antenna up in the hill. 853 1:56:26 --> 1:56:42 And this is 4G+, and it radiates easily five, six kilometers, but partly high, partly low frequencies, three active antennas, new, either last, late last year or this year. 854 1:56:42 --> 1:56:58 So, when you look at this, you find there is two places for that, there is a place for damaged trees, massive damage from trees along the road. 855 1:56:58 --> 1:57:09 And down in the valley, there is a river, and back to the river, it's a massive amount of dead or dying trees. 856 1:57:09 --> 1:57:18 So my first assumption was that when people go into the bus or car, use a phone, there will be damage. 857 1:57:18 --> 1:57:28 But I couldn't understand how come the trees were dying also higher up. 858 1:57:28 --> 1:57:33 People go on the upper roads, the high railroads. 859 1:57:33 --> 1:57:42 When they sit in the bus car, the antenna will go through them and high and down in valley, down there. 860 1:57:42 --> 1:57:54 And what did I see down there? I see a massive amount of dead or dying trees in this limited area. 861 1:57:54 --> 1:58:06 And it is some species of trees and not all. It's a variation by biology, some reasons. 862 1:58:06 --> 1:58:13 Here we see this, more of the same basically. 863 1:58:13 --> 1:58:30 We can see here a tree, a little tree, there is a school next to it, a school where people live, partly, and this tree stands alone, and the school and the tree is in line to the antenna. 864 1:58:30 --> 1:58:39 To make a little bit stronger example, I'm showing you a photo from Lithuania, Latvia. 865 1:58:39 --> 1:58:47 This is outside a home where you can see the so-called smart meter outside the house. 866 1:58:47 --> 1:58:53 And that is sending signals at all times, every second. 867 1:58:53 --> 1:59:04 And we see that half the tree is dead or dying on the side of the tree, which is close to the active sending antenna. 868 1:59:04 --> 1:59:08 I could show you more, but let's say in the cities it's much worse. 869 1:59:08 --> 1:59:13 They put the antennas on top of the houses or the businesses. 870 1:59:13 --> 1:59:21 And there is a massive problem with, let's say, people are calling sick, people are dying. 871 1:59:21 --> 1:59:28 So this is where I started my study. How come people are dying so much in Oluseint? What is the reason? 872 1:59:29 --> 1:59:34 They have 5G antennas on top of their roofs. 873 1:59:34 --> 1:59:43 Yeah, I don't need to go more into this. I can continue a little bit on my main story. 874 1:59:43 --> 1:59:58 So what is kind of relevant today to understand a little bit of US Department of Defense and Space Force as it relates to both Maui, Norway and other places? 875 1:59:58 --> 2:00:02 This is other places. This is north of Norway. 876 2:00:02 --> 2:00:09 They just finished beginning of this year sometime this new radar system, which is called Globus 3. 877 2:00:09 --> 2:00:18 And which initially was said to be an upgrade from Globus 2. Globus 2 operates at 9 to 11 gigahertz. 878 2:00:18 --> 2:00:23 It's a rotating antenna. It's 180 degrees. 879 2:00:23 --> 2:00:28 It is having a sending effect of about 200 kilowatts. 880 2:00:28 --> 2:00:33 It goes 40,000 kilometer into the space. 881 2:00:33 --> 2:00:38 And this is a new station, Globus 3. 882 2:00:38 --> 2:00:48 And I did some research and I found that the base station is put up in Marshall Island. 883 2:00:48 --> 2:00:56 And there are three stations, it looks like one in Marshall Island, one in north of Perth, Western Australia. 884 2:00:56 --> 2:01:01 And they radiate at 2 to 4 gigahertz. 885 2:01:01 --> 2:01:14 And the base effect is 810 kilowatts, which is four times higher than Globus 2, which is also at a different frequency. 886 2:01:14 --> 2:01:24 But the maximum output is at 2.7 megawatts, which is 13 times more power than the past one. 887 2:01:24 --> 2:01:33 This operates, as I understand, by a supercomputer, 32,000 active antennas. 888 2:01:33 --> 2:01:37 And they can beam form to hit the ball in outer space. 889 2:01:37 --> 2:01:42 So this is a multipurpose thing. 890 2:01:42 --> 2:01:45 Here we see how they were building it in... 891 2:01:45 --> 2:01:50 Anders, we cannot see your presentation. 892 2:01:50 --> 2:01:54 Okay, that's a pity. 893 2:01:54 --> 2:02:00 Then I need to share again. 894 2:02:00 --> 2:02:02 You can see it now? 895 2:02:02 --> 2:02:03 Yep. 896 2:02:03 --> 2:02:11 That was a pity. Here you can see the Globus in the newest one, which started this year. 897 2:02:11 --> 2:02:20 Here you can see the model place, which was built up in the Kvaja Line in Marshall Island. 898 2:02:20 --> 2:02:29 And a similar installation is put up in 800 miles or something north of Perth in Western Australia. 899 2:02:29 --> 2:02:32 Here is a total plan or a story. 900 2:02:32 --> 2:02:43 And you can see also to the very left here at the so-called Cayena Point, there is a point for Maui. 901 2:02:43 --> 2:02:45 Maui is part of this system. 902 2:02:45 --> 2:02:53 This graphic is not completely updated, but it shows the Eglin base in Florida. 903 2:02:53 --> 2:02:55 It shows different things across the world. 904 2:02:55 --> 2:02:59 And you see the Globus up in north of Norway. 905 2:02:59 --> 2:03:12 And what has happened is that they have now three more and they operate at microwave 5G technology at up to 2.7 megawatts. 906 2:03:12 --> 2:03:21 Here you can see the system, the so-called Space Defense or Star Wars, whatever initiative. 907 2:03:21 --> 2:03:24 They call it now the US Space Hunts. 908 2:03:24 --> 2:03:32 And it is, to my understanding, not just a radar, but it is also a directed energy weapon. 909 2:03:32 --> 2:03:40 So back to EMF in general, part one. 910 2:03:40 --> 2:03:47 Part one, what has been established not by me, but by scientists, 911 2:03:47 --> 2:03:54 which is referred to in the book of Arthur Fichtenberg, The Invisible Rainbow, 912 2:03:54 --> 2:04:11 is that it is highly likely that diabetes I, cancer, heart diseases, mental disorders, DNA problems from microwave radiation. 913 2:04:11 --> 2:04:16 And I have added this top one, the sudden death syndrome. 914 2:04:16 --> 2:04:25 Let's say it's a science based theory of a directed energy weapon correlated to graphene oxide and EMF exposures. 915 2:04:25 --> 2:04:32 Imagine you play football and 3000 people want to take a photo of you and you direct your phone, 916 2:04:32 --> 2:04:40 direct it to the football player or the artist singing music at the scene. 917 2:04:40 --> 2:04:48 And some of these telephones have a direct line between the antenna and you, your phone and the player. 918 2:04:48 --> 2:04:58 So hundreds of phone radiation lines will then hit the target. 919 2:04:58 --> 2:05:10 OK. So implications. Let's say if my findings are right about these so-called flu viruses, 920 2:05:10 --> 2:05:17 which may clearly be what I call imaginary viruses, what is the purpose of vaccination? 921 2:05:17 --> 2:05:25 Is it just to earn money or is it darker agendas? Who is behind it? OK, we know WHO. 922 2:05:25 --> 2:05:36 They are the top NGO. We have the local government in USA FDA CDC in Europe, European Medical Agency, 923 2:05:36 --> 2:05:46 the German Robert Koch Institute. So seeming have we forgotten what the Robert Koch postulate was all about and who have captured them? 924 2:05:46 --> 2:05:54 And also what about autism? And we know the correlation to the vaccination. 925 2:05:54 --> 2:06:01 So further and finally, I would say that we have to ask some key questions. 926 2:06:01 --> 2:06:14 How to we as a persons can act to reduce the damage of electromagnetic frequencies as to the EMF exposure reduction strategies for you, 927 2:06:14 --> 2:06:21 your family and friends. And that's something I'm going into. 928 2:06:21 --> 2:06:27 We are also talking about the regulations and policy implications, which is a tough call. 929 2:06:27 --> 2:06:32 Governments are corrupt. We all know that. 930 2:06:32 --> 2:06:39 Then a correlation to the so-called co-morbidities or lack of vitamin D. 931 2:06:39 --> 2:06:45 We have the germ theory versus the environment and your body. 932 2:06:45 --> 2:06:50 And we have the theory of the poisonous spike protein. 933 2:06:50 --> 2:07:04 And this is finding correlation, which is done by the really fantastic pathologist, Professor Dr. Arne Burkhardt. 934 2:07:04 --> 2:07:13 But the conclusion may not be the right one. He claims that he believe he find this spike protein in the brain. 935 2:07:13 --> 2:07:17 He don't find it in patients who have not got the vaccination. 936 2:07:17 --> 2:07:22 So there is a correlation between the vaccination and the spike protein. 937 2:07:22 --> 2:07:33 But it may be that the real question is that the spike protein is coming out of the cells being poisoned either by the liquid, 938 2:07:33 --> 2:07:45 a liquid, a liquid nanoparticle poison or and or graphene oxide and or induced by EMF radiation. 939 2:07:45 --> 2:07:57 I would add that. Yeah, there is a small more story I would like to add as it goes into the time of this. 940 2:07:57 --> 2:08:12 And there is a recent video posted by Dr. Day Martin, where he present his ideas about these fires going on now. 941 2:08:12 --> 2:08:21 They have been going on in Canada, in USA, in the islands and mainland of Greece and in Tenerife. 942 2:08:21 --> 2:08:29 What we really know for Greece and Tenerife is that almost everything we have found, they are manmade. 943 2:08:29 --> 2:08:35 The ones in Canada and USA probably also, maybe not all. 944 2:08:35 --> 2:08:43 And we that's what happened in Maui is highly, let's say. 945 2:08:43 --> 2:08:49 Yeah, is it neglect or manmade? And we can look at that. 946 2:08:49 --> 2:09:04 This is some screenshots in slow motion from video taken in Maui during the fire. 947 2:09:04 --> 2:09:18 And we can see what is claimed to be a number two, a directed energy weapon coming from the side, not from above, but on the side. 948 2:09:18 --> 2:09:35 And it can be directed from this local Department of Defense Space Force facility up on it's a 3000 meter high mountain, or it can be from other sources. 949 2:09:35 --> 2:09:48 But what is probably more likely is that something like that happened and that wind of 50 miles per hour was taking down the power grid. 950 2:09:48 --> 2:09:54 So that's my story. I'm doing this as my main living right now. 951 2:09:54 --> 2:10:01 So I have a wish that someone will contribute to my funding of my work. 952 2:10:01 --> 2:10:13 So that will be in Trinity for I just want to end with some photos of Maui where you can see that houses are surrounded by damage, but some are not. 953 2:10:13 --> 2:10:23 We see cars have been burned, melted at high temperatures, partly and half of them and half not. 954 2:10:23 --> 2:10:33 These electromagnetic frequencies of 5G or directed energy weapon. 955 2:10:33 --> 2:10:43 They have been connected to having the effect of burning the tree from inside out. 956 2:10:43 --> 2:10:54 That is a known way of how electro or let's say these weapons works. 957 2:10:54 --> 2:11:11 And then white dust on the places where the fire happened indicates that the temperature or the technology was different than normal fire. 958 2:11:11 --> 2:11:22 So, I don't need to go into this story. This is I think I've said plenty in going through many different subjects. 959 2:11:22 --> 2:11:31 And as that's you've done a you've done a wonderful job. So if you stop sharing your screen now, what will that is an extraordinary amount of work. 960 2:11:31 --> 2:11:36 Congratulations on what you have researched. 961 2:11:36 --> 2:11:45 It's many questions for many of us. What I suggest that we do is normally go for two and a half hours. 962 2:11:45 --> 2:11:49 But but I think there's going to be a lot of hands and lots of questions. 963 2:11:49 --> 2:12:01 So what I would suggest is that we'll go through if you're OK, and as to the to the we have 45 minutes for questions to the three hour mark. 964 2:12:01 --> 2:12:06 Is that OK with you? Because Stephen will go first with us questions and then we've got four hands up. 965 2:12:06 --> 2:12:13 So are you OK for another 45 minutes? And with that, very good. 966 2:12:13 --> 2:12:23 Very good. All right, Steve and Robert, you know, the work you've been doing with Robert Young and Robert's referred people to Robert's latest sub stack. 967 2:12:23 --> 2:12:31 It's a wonderful survey of where we've been through, as is your work. So, Stephen Frost, are you there? 968 2:12:31 --> 2:12:37 Oh, yes, I am. OK, next 15 minutes are all yours, Stephen, and then we'll go through it all. 969 2:12:37 --> 2:12:45 Well, yeah, maybe I'll donate my time to other people who are better able to ask the questions on this subject. 970 2:12:45 --> 2:12:54 But anyway, I just wanted to say that that was a well, first of all, I like the opening speech and the introduction. 971 2:12:54 --> 2:13:01 And you came over as honest, human, authentic, humble. 972 2:13:01 --> 2:13:05 And but I wanted to ask you. 973 2:13:05 --> 2:13:18 So when you're looking at all this information and you're coming across surprise, how does your mind work to kind of explore some things and not others? 974 2:13:18 --> 2:13:24 If there is any system, maybe you have no system. I don't know. 975 2:13:24 --> 2:13:28 Oh, you have muted, Andes. Yes. 976 2:13:28 --> 2:13:43 Well, typically I would say my brain, my mind works out of an assumption that I believe something. 977 2:13:43 --> 2:13:57 But I need to verify that what I believe is logical and fact based and and and and as I said, sometimes I go wrong. 978 2:13:57 --> 2:14:06 I believed there was a virus for a short time. I believe that excess mortality was mainly only caused by the jabs. 979 2:14:07 --> 2:14:17 So for each time I learned to be more careful with the conclusion, and I'm probably not humble enough. 980 2:14:17 --> 2:14:27 But I explore different things and sometimes I find surprise results, which I don't understand. 981 2:14:27 --> 2:14:33 And I sometimes just leave them to let the brain work out some kind of theories. 982 2:14:33 --> 2:14:36 And then I look for facts. 983 2:14:36 --> 2:14:40 So it's a kind of journey. 984 2:14:40 --> 2:14:46 And I'm not maybe the fastest guy. My brain needs to sleep on it. 985 2:14:46 --> 2:14:50 Maybe a few nights to the brain seems to work on its own. 986 2:14:50 --> 2:14:57 I can wake up in the early morning and suddenly there is an answer, which I didn't knew before. 987 2:14:57 --> 2:15:02 So exactly. So there are some low frequencies or low. 988 2:15:02 --> 2:15:06 Yeah, some of the best part of the brain is not the fastest one. 989 2:15:06 --> 2:15:14 Exactly. And also the parts of the brain possibly that we least understand. 990 2:15:14 --> 2:15:25 So, so you're intuition, logic, you follow your intuition and you're not afraid to hypothesize. 991 2:15:25 --> 2:15:32 So I think that's wonderful for a scientist. And then you try to prove your or disprove your hypotheses. 992 2:15:32 --> 2:15:35 That's how I view it. And it's brilliant. It's a work. 993 2:15:35 --> 2:15:43 And that was by the way, Andish, I think you missed an email or two emails maybe about three months ago because I first saw you about three months ago. 994 2:15:43 --> 2:15:49 And you were talking about the deaths of the excess mortality in Norway then. 995 2:15:49 --> 2:15:54 And I was very struck about how you were telling the story. 996 2:15:54 --> 2:15:58 I thought we need to get this guy on. But then I sent you an email inviting you. 997 2:15:58 --> 2:16:07 But then you didn't reply. And I thought you just missed it or and then I kind of waited till the next time you cropped up. 998 2:16:07 --> 2:16:10 And this time I thought we have to have you on. 999 2:16:10 --> 2:16:15 But anyway, I was a brilliant presentation. 1000 2:16:15 --> 2:16:23 And the best part about it for me was the way that you have kind of been emphasizing that you are searching for the truth. 1001 2:16:23 --> 2:16:29 You said you had a relaxed attitude to past mistakes, your past mistakes. 1002 2:16:29 --> 2:16:35 And you accept them and try to search for the truth at all times. 1003 2:16:35 --> 2:16:48 And yes, it's a journey. It's a pity that some others who we won't mention the names of weren't similarly or as humble as you are. 1004 2:16:48 --> 2:16:55 So now I'm struck. 1005 2:16:55 --> 2:17:10 I'm struck. So my neighbor told me about a year ago, my next door neighbor, one of my next door neighbors told me about a year ago that he had two trees taken down on either side of his drive. 1006 2:17:10 --> 2:17:19 Because, and they were beautiful trees, because apparently the tree trunks were hollow. 1007 2:17:19 --> 2:17:26 There are two I found two dead birds in a hedge in direct line. 1008 2:17:26 --> 2:17:37 I've just realized tonight listening to you from where I think there are antennae to where I'm sitting now. 1009 2:17:37 --> 2:17:42 And I wonder whether you think oh, and there's one other thing. 1010 2:17:42 --> 2:17:57 Oh, yes, there's another tree dying right next to a bus stop, which is you've alerted me and others in this listening now and in the future to that they need to look at a floor. 1011 2:17:57 --> 2:18:01 Well, it would be very interesting, wouldn't it? 1012 2:18:01 --> 2:18:07 You know, next to bus stops, we find look around for the nearest whatever you would look for. 1013 2:18:07 --> 2:18:11 You'd look for an antenna, I suppose, or a tower. 1014 2:18:11 --> 2:18:17 And you're looking for direct lines. Is that right? 1015 2:18:17 --> 2:18:19 Yes. 1016 2:18:19 --> 2:18:25 So, so there's another tree dying it's right next to a bus. So that's three things. 1017 2:18:25 --> 2:18:44 And which could be consistent with what you're saying, but I'm not saying, you know, it's just that I was mystified why this, the trunks, apparently these these trees had to come down because they were unsafe, because the trunks were rotten from the from the inside. 1018 2:18:44 --> 2:18:50 But whether that's five genomes I don't know it's just a heck of a coincidence. 1019 2:18:50 --> 2:19:01 And it could be that those trees are also in the direct line from the, the, the, where the tower, if you like, to the bus stop. 1020 2:19:01 --> 2:19:11 But also I've realized tonight listening to you that the two birds I found, which I thought had crashed into the window, which they may have done, because that has happened. 1021 2:19:11 --> 2:19:14 But two were in the hedge on the top of the hedge. 1022 2:19:14 --> 2:19:29 And, and they were in, and that was in the direct line from from the mast to here. I don't know whether that would be of interest to you or not. 1023 2:19:29 --> 2:19:43 So, the number of birds we have today compared to 40 years ago is maybe only 20%. We lost maybe 80% of the birds. If you drive the car, I used to drive a car a lot. 1024 2:19:43 --> 2:19:54 It used to be red of blood from insects. Yes, to the front. Yes, it's not that anymore. No, exactly. 1025 2:19:54 --> 2:20:04 So, so this is indications. I used to be a grouse hunter. All the places are closed down. They are gone, almost completely gone. 1026 2:20:04 --> 2:20:15 When I walk in the forest or in the mountains, I used to have a plague of all the flies and mosquitoes attacking me. They are not there anymore. 1027 2:20:15 --> 2:20:26 So, the birds. So what we can say, and if the technology is out of control, this is human hubris till till proved otherwise. 1028 2:20:26 --> 2:20:33 And at the very least, there ought to be an investigation. And while you were talking tonight, I realized that I'm a radio radiologist. 1029 2:20:33 --> 2:20:45 And I remember when I was starting radiology, the Radiological Protection Society had a lot to say about how we operated as radiologists. 1030 2:20:45 --> 2:20:58 And in particular, we used to have to wear dosimeters for the radiation, ionizing radiation. All of a sudden, that requirement was taken away. 1031 2:20:59 --> 2:21:12 And now I looked up tonight and I put it in the chat. The five year plan for the Radiological Protection Society from twenty three to twenty eight. 1032 2:21:12 --> 2:21:18 I haven't I couldn't see it because it was too small the print. It was a picture. 1033 2:21:18 --> 2:21:25 And I put it in the chat anyway, so that people can look at it. I don't know what the conclusions are, but it's talking about a five year plan. 1034 2:21:25 --> 2:21:41 So I'm thinking I was mystified because I remembered the lectures that we had when we first started the radiology about the that nobody no one knew what the risk was for individuals when it came to ionizing radiation. 1035 2:21:41 --> 2:21:46 Now, what you're talking about may not be ionizing radiation. I don't know. 1036 2:21:46 --> 2:21:58 But but but the point that I'm saying is that suddenly the Radiological Protection Society said that the dosimeters were not necessary. 1037 2:21:58 --> 2:22:01 And I thought I was very suspicious. 1038 2:22:01 --> 2:22:06 And then I thought, well, I did mention it to a few people as well. 1039 2:22:06 --> 2:22:08 Nobody had an answer. 1040 2:22:08 --> 2:22:20 But but who is responsible in the UK, for example, to safeguarding the public against possible radiation hazards such as you've been describing tonight? 1041 2:22:20 --> 2:22:24 Because we need to write them. 1042 2:22:24 --> 2:22:29 In each country, there is a kind of state agency. 1043 2:22:29 --> 2:22:34 I mean, I think in America, it's EPA in Norway, it's the Strålevand. 1044 2:22:34 --> 2:22:44 And so you will find that in each country and they basically copy paste what is coming from the overloads, which is paid for by the industry. 1045 2:22:44 --> 2:22:47 So they are corrupted. 1046 2:22:47 --> 2:22:51 So they cannot be trusted. 1047 2:22:52 --> 2:23:05 What is, for example, all information you will find on all of these frequencies, the official data is that they claim all claims that all of these frequencies are non ionizing. 1048 2:23:05 --> 2:23:09 This is the public information. 1049 2:23:09 --> 2:23:17 However, it has been proven now by German scientists here that the data is not ionizing. 1050 2:23:17 --> 2:23:32 However, it has been proven now by German scientists team that actually the pools, which is the medium for making transmission in this EMF, the pools is on and off. 1051 2:23:32 --> 2:23:35 And that creates the ionizing. 1052 2:23:35 --> 2:23:43 So it is 100% wrong that these so-called radiations are non ionizing. 1053 2:23:43 --> 2:23:47 But that's the public propaganda narrative. 1054 2:23:47 --> 2:23:52 So let's say you can't trust anything. 1055 2:23:52 --> 2:24:00 But the point is, when crimes are being committed, a lot of people say, oh, it's no use writing to the Radiological Protection Society. 1056 2:24:00 --> 2:24:08 But it is because one day, hopefully, we'll be in a position where we are able to hold all these people to account. 1057 2:24:08 --> 2:24:16 And any letters that we write now are worth writing, even if they're ignored, or especially if they're ignored. 1058 2:24:16 --> 2:24:19 What do you think? 1059 2:24:19 --> 2:24:28 In Norway, the team or group of people I work with, we have lost the. 1060 2:24:28 --> 2:24:32 We don't believe in party politics anymore. 1061 2:24:32 --> 2:24:35 If you want to change it, you can go to Switzerland. 1062 2:24:35 --> 2:24:38 The type of system we have direct democracy. 1063 2:24:38 --> 2:24:44 You want to have a poll or you want to decide by the people and not through your party. 1064 2:24:44 --> 2:24:54 In Switzerland, the people are much more respected because they have elections, real elections directly. 1065 2:24:54 --> 2:25:07 In each canton, in each major case, they are also kind of subject to lies and propaganda, but they have the tools of the right for the people to go direct. 1066 2:25:07 --> 2:25:13 And I think that the main problem is that we can't trust the political parties anymore. 1067 2:25:13 --> 2:25:15 They are corrupted. 1068 2:25:15 --> 2:25:20 So the system is not likely to be changed through the party politics. 1069 2:25:20 --> 2:25:30 I meant that it's important that we write letters asking questions about your data, for example, your research. 1070 2:25:30 --> 2:25:34 And if you know, if they don't answer, that's also an answer. 1071 2:25:34 --> 2:25:38 Or if they have answered, I'm also going to ask you another question. 1072 2:25:38 --> 2:25:40 I'm also going to ask you another question. 1073 2:25:40 --> 2:25:51 I sent to you the report, which was signed off by Arthur Furstenberg and others on behalf of the World Council for Health. 1074 2:25:51 --> 2:25:54 I haven't heard anything, any warning that was coming out. 1075 2:25:54 --> 2:26:02 Do you think that was a limited hangout about what what is actually happening? 1076 2:26:02 --> 2:26:05 I mean, were you impressed by that report? 1077 2:26:05 --> 2:26:13 Because, you know, most of the people even on this group would would probably not read it. 1078 2:26:13 --> 2:26:16 And if they did read it, they wouldn't understand it. 1079 2:26:16 --> 2:26:19 So so what did you think of that report? 1080 2:26:19 --> 2:26:23 Or didn't you have time to look at it because you were preparing this? 1081 2:26:23 --> 2:26:33 I've been I was skimming mainly the first part of it, which was related to my work. 1082 2:26:33 --> 2:26:50 And yeah, with all respect to Arthur Furstenberg for his fantastic work, what is the situation maybe is that 1083 2:26:50 --> 2:26:59 very few have gone into the details of the technology which happened from 2012 until now. 1084 2:26:59 --> 2:27:03 What is the 4G, 4G plus 5G, the details of it? 1085 2:27:03 --> 2:27:08 And and however, Beverly Rubik and Magda Haavars have done it. 1086 2:27:08 --> 2:27:17 And I think that there needs to be a combination of the theory of what they have found 1087 2:27:17 --> 2:27:23 and empirical evidence that this is very likely is correct. 1088 2:27:23 --> 2:27:29 Yeah. So, Anders, I have contact with Wally. 1089 2:27:29 --> 2:27:31 Actually, he's on the call, but I don't want to. 1090 2:27:31 --> 2:27:33 I understand if he just wants to listen. 1091 2:27:33 --> 2:27:40 He's going to speak to us on Conquering Moment now, whether it's. 1092 2:27:40 --> 2:27:44 So I think it's yes, it's next Sunday. 1093 2:27:44 --> 2:27:52 And he's done wonderful research similar to the kind of research you've been doing, just kind of looking around, you know, 1094 2:27:52 --> 2:27:59 and he's been doing research on the Nord Stream pipeline incident, if you like. 1095 2:27:59 --> 2:28:11 And he's now come up with something amazing, which I won't go into now because that will take away the surprise when he presents to us on Sunday. 1096 2:28:11 --> 2:28:17 But he's on the call. I'd like to put you in touch with him, but I'd also like to put you in touch with Jessica Rose. 1097 2:28:17 --> 2:28:22 I don't know whether you know her. She's a data expert. 1098 2:28:22 --> 2:28:33 The first one, are you talking about this Swiss scientist? Hans-Henry Winbrunn. 1099 2:28:33 --> 2:28:39 I think I've seen his presentation of the Nord Stream. 1100 2:28:39 --> 2:28:45 Yeah, so it's a similar story to you. He's working on his own, looking at the data. 1101 2:28:45 --> 2:28:54 He's brilliant. And so are you. But also, Jessica Rose, are you in touch with her? Because I think she may be able to help you. 1102 2:28:54 --> 2:28:56 No, I am not. 1103 2:28:56 --> 2:28:58 Okay. Very good. 1104 2:28:58 --> 2:29:04 All right, Stephen. That's the 15 minutes. Albert. 1105 2:29:04 --> 2:29:12 Hi, Anders. How are you doing? My name is Albert Benavides here in San Jose, California. 1106 2:29:12 --> 2:29:20 And I have a website called VerzAware.com. I'm just the Verz guy that follows the Verz data. 1107 2:29:20 --> 2:29:29 But my friend, Robert O. Young, Dr. Robert O. Young said that he'd like for me to meet you. 1108 2:29:29 --> 2:29:37 And maybe I too am also like an Excel spreadsheet guy and a database guy. 1109 2:29:37 --> 2:29:48 And I kind of have fashioned myself into a data visualization guy using interactive dashboards to visualize data. 1110 2:29:48 --> 2:29:56 So, of course, when I saw your presentation and I saw all your beautiful graphs, of course, my ears perked up. 1111 2:29:56 --> 2:30:01 And I think probably Robert felt that too. 1112 2:30:01 --> 2:30:07 And anyways, he recommended that he's going to connect us in the background here. 1113 2:30:07 --> 2:30:17 But I just wanted to introduce myself to you and looking forward to possibly working with you and putting together, 1114 2:30:17 --> 2:30:25 trying to see what your data looks like on an interactive dashboard that the world can access for free. 1115 2:30:25 --> 2:30:37 So I'll just leave it at that. And also to Dr. Susan Downs, thank you for liking my fishtail picture so much. 1116 2:30:37 --> 2:30:41 So thank you. Albert, I see what you mean. So combining. Yes, exactly. 1117 2:30:41 --> 2:30:47 You can look for signals that Andrush has highlighted. You mean that, do you? 1118 2:30:47 --> 2:31:03 Yeah, yeah. Yeah, I just with all the raw data, no matter the more data, the better actually to turn that into data visualization graphs and possibly 1119 2:31:03 --> 2:31:17 absolutely linking it up to a geo map like some of my dashboards where you can zoom in on the state or the city and then see the graphics on that. 1120 2:31:17 --> 2:31:26 So, yeah, that's what I'm talking about. So I just want to comment that I'm planning a trip over in about two weeks to California. 1121 2:31:26 --> 2:31:31 San Jose. What part? 1122 2:31:31 --> 2:31:37 And I will fly into LA, flying into LA. 1123 2:31:37 --> 2:31:42 Okay. Do you think that Jessica Rose would be useful? 1124 2:31:42 --> 2:31:52 Yes, I don't know enough about her, but probably, yes. 1125 2:31:52 --> 2:32:02 All right. So, Stephen, Stephen organized that that will definitely be useful. So if you think it's useful, Stephen, I'm sure it will be for Andrush. 1126 2:32:02 --> 2:32:05 Glenn. 1127 2:32:05 --> 2:32:08 Hi, Andrush. I find this fascinating. 1128 2:32:08 --> 2:32:19 Many people have made it clear that virtually all life forms are associated with vibrations, and there are positive vibration levels and negative vibration levels. 1129 2:32:19 --> 2:32:31 Things like love and prayer are both the very positive side of vibration levels. And I think what you're identifying is what may be an enormous set of negative vibration levels. 1130 2:32:31 --> 2:32:51 And that the cabal in general is putting together a massive number of negative vibration mechanisms, of which the radio waves directly is one, but also the lack of vitamin D and other things. 1131 2:32:51 --> 2:33:07 So there's things that are increase inflammation and bad vibration certainly do that. And there's things that decrease inflammation. And when you have multifaceted, these things compound each other and associate with the kind of graphs you presented. 1132 2:33:07 --> 2:33:17 So I'm going to present a hypothesis, and I'd like your comment. You may be giving us the evidence of what we're about to be attacked with. 1133 2:33:17 --> 2:33:45 Within the past two weeks, there's been a lot of information going out saying that the airline TSA, the hospital management, college management, and education management world, well, certainly US-wide, have been told there's about to become a giant wave of attack and not sure what, but the claim it might be another wave of COVID, and that it's going to turn into lockdowns and masking. 1134 2:33:45 --> 2:34:00 Now, a variety of us that have heard these advance notices saying, what the heck? How can somebody predict something of that nature when it's clearly not under routine manmade control? 1135 2:34:00 --> 2:34:14 So the hypothesis I would present is, could they essentially take all of the towers, especially in Western democracies, and put them into overdrive? 1136 2:34:14 --> 2:34:43 And would that cause this kind of immediate, potentially starting tomorrow and this week, acceleration of bad vibrations that cause, get that layer on top of all the state we have with increased inflammation, and that extra boost would become an overload that would put our entire sets of economies into collapse, into workers not being available, everything shutting down. 1137 2:34:44 --> 2:34:49 And not going back into lockdowns and everyone in the world saying we have to wear masks. 1138 2:34:53 --> 2:34:54 Well, 1139 2:34:54 --> 2:35:14 To my evaluation, there is a huge difference between cities, metros and rural, and the technology with the big dangerous antennas are mainly in the cities and not in rural. 1140 2:35:14 --> 2:35:40 But the cities have, it's possible to scale up the radiation massively. The question is whether the damage is mainly done from the mask, or is happening with the interaction with your mobile devices. 1141 2:35:40 --> 2:35:54 And my study indicates two things that there is an increased radiation, let's say, cities like New York City, the people there have much higher risk than those who are in rural. 1142 2:35:54 --> 2:35:57 So cities are risky. 1143 2:35:57 --> 2:36:04 And they can increase radiation power. 1144 2:36:04 --> 2:36:22 But I think most of the risks are, the real risk are correlated to the actual use. So, if you turn off your phone, don't use much streaming, your risk will go down. 1145 2:36:22 --> 2:36:35 But if you go to the cities, all the hospitals, all the state facilities, they have, they're with a big exposure to radiation. 1146 2:36:35 --> 2:36:47 So the fundamental functioning of a society can be affected by a targeting into the cities. And that is possible and likely. 1147 2:36:47 --> 2:37:07 And finally, what we see now parallel to the fires is that they are claiming they're blaming the global warming to the CO2 for the cause, but we see that most likely most of the fires have been started by evil people who want to use that as 1148 2:37:07 --> 2:37:20 to make people scared and people are scared. People are afraid of traveling because of fire, because of lockdowns, because of radiation. 1149 2:37:20 --> 2:37:33 So I think it's the evil people at power, they can do bad things and they have done bad things. And the question is, what will they do now? 1150 2:37:33 --> 2:37:56 I think they feel weaker now. I think people, enough people understand that what happened with COVID was not a virus. But I have family members, they are thinking I'm a little crazy guy to come to claim that there is such things as an EMF. 1151 2:37:56 --> 2:38:09 And, you know, once some of these things start happening, anxiety itself, the deep fear also compounds people's getting sick and having mental disease and poor health. 1152 2:38:09 --> 2:38:23 But specifically in what you've described in the fact that the radiation patterns, are there ways that we could get monitors, people to go monitor the radiation levels near these towers? 1153 2:38:23 --> 2:38:36 And if we find they suddenly ramping up this coming week, and it's associated with a variety of other events, that's an indicator that that's the mechanism they're using here. 1154 2:38:36 --> 2:39:03 In addition to all the fires and other things and cloud seeding that we know they do for weather change, may the action they're about to take on is to ramp up the power level and the number of frequencies with high emitting levels coming out of these towers to basically initiate this next big wave. 1155 2:39:03 --> 2:39:13 And if we could monitor that and recognize it and point it out, seeing things is a way to lower people's anxiety once they can tell what's going on. 1156 2:39:13 --> 2:39:27 Yes, but there are multiple sources and we need to observe or know that there is a huge risk also from these Starlink satellites. 1157 2:39:27 --> 2:39:37 There are more than 10,000 of them out there now. If you look up in the blue sky at night, you will see 30 to 50. So they're all over you. 1158 2:39:37 --> 2:39:43 And we simply do not know their capacities to do harm. 1159 2:39:43 --> 2:40:00 These few strong microwave radiation DEV, they can do bad things, but in a limited area, and they cannot do everywhere. 1160 2:40:00 --> 2:40:19 So the radiation close to us is the highest risk and we need to inform enough people of taking precautions how to reduce your exposure and how much you get. 1161 2:40:19 --> 2:40:34 But it's extremely difficult to tell young people that they cannot use their phones. So it needs really education and people don't believe what you say. 1162 2:40:34 --> 2:40:56 So you need to go into the data and analyze this or what is the causes and mortality. So what I found basically is that the statistics rural metro shows something which people, most people didn't realize. 1163 2:40:56 --> 2:41:11 Thank you so much for alerting us to this information. Great question. Great vibration, everybody. We are energy events and Glenn has just reinforced that fact and just raising our awareness of it. 1164 2:41:11 --> 2:41:23 As Stephen says, raising our awareness of damage in line with antennae. Thank you, Glenn. Claire and then Jim and then a couple of questions, Stephen. We're finishing in 15 minutes. Claire. 1165 2:41:23 --> 2:41:37 Hello. Thank you, Anders, for your presentation. Like you, I've been working on excess deaths for the last year. And I just want to ask you some questions from from what I've been doing. 1166 2:41:37 --> 2:41:50 So I've been working on a website called www.excessdeathstats.com. It's only got one S in the middle, excessdeathstats.com. 1167 2:41:50 --> 2:42:13 We're trying to do a page for as many countries as we can. Unlike you, we're not trying to work out what the cause of the excess deaths is. What we're trying to do is highlight that excess deaths are happening in many countries over the world and provide flyers and social media things that can be shared so that the general public can start. 1168 2:42:13 --> 2:42:32 And we're trying to make people aware of what is going on, the aim being behind that to get questions asked. So just to point out, I was a statistician in my 20s and I was a medical, I am a medical journalist since my, in the last more than a decade. 1169 2:42:32 --> 2:42:43 I have a member of that team on here who is Norwegian. I don't know if he's still on the call, but Tora Gulbransson is working on excess death stats in the Nordic countries for our project. 1170 2:42:43 --> 2:42:59 Your presentation has made me realize that one of the things we must think about as a possible cause of excess deaths is definitely, it's got to be EMF and the launchers of things like 4G and 5G, which I hadn't considered before. 1171 2:42:59 --> 2:43:17 And I think that's a really important thing I've gleaned from this. Of all your graphs, the one that I found most convincing was the one of Switzerland, which you said I think had low levels of power of their telecom systems. 1172 2:43:17 --> 2:43:32 But then when that 5G was launched and it was a weekly graph and you had that big spike when the 5G was launched, and I found that as a statistician by background, I found that graph the most convincing of all your graphs. 1173 2:43:32 --> 2:43:41 So let's just, I've got three questions for you. The first question is a sort of technical one that I've learned from doing this project. 1174 2:43:41 --> 2:43:55 So when we talk about excess mortality, there's two ways to think about it. Is it excess numbers of deaths that you're looking at? And are you looking at an excess in the death rate, which is deaths per population? 1175 2:43:55 --> 2:44:05 And the reason I ask is that one thing I've learned that is if you look at excess deaths, rather than excess death rates, you're not taking into account population changes. 1176 2:44:05 --> 2:44:14 And so for instance, in Australia, part of the rise in excess deaths in 2022 is just because the population is bigger and there are more people available to die. 1177 2:44:14 --> 2:44:26 So that's question one, which of those are you looking at? Then the second thing is, say we all know there is a problem with excess deaths, and then we've got to objectively try and think what factors could be causing this. 1178 2:44:26 --> 2:44:34 And like you, I think this is multifactorial. And you've just added another factor to what I would consider, which is the EMF. 1179 2:44:34 --> 2:44:51 So when I used to work as an economist, it was in the corporate world. And people did econometric models when they're trying to explain something. They put in a whole load of different potential possible variables and then do regression analyses and see which correlates. 1180 2:44:51 --> 2:45:03 So thinking about, and I think I've never done this, but I think in epidemiology, they do the same kind of thing. So if we think through your interesting differences between rural and town. 1181 2:45:03 --> 2:45:14 So obviously you've highlighted this 5G. But my second question is, have you considered other things that popped into my head that might make differences between rural and urban? 1182 2:45:14 --> 2:45:22 So one thing is that possibly the vaccination rates would differ. I imagine rural people are more independent minded. 1183 2:45:22 --> 2:45:29 They run their own businesses and things. And so maybe there's a lower vaccination rate in rural areas. 1184 2:45:29 --> 2:45:39 In town, you're more likely to go to a super duper hospital where they're doing the latest things treating you if you've got COVID or what they think is COVID. 1185 2:45:39 --> 2:45:56 And certainly I know that in America, in California, I've seen evidence that hospitals were being paid nearly half a million dollars per patient if they put them on ventilators for COVID, put them on ventilators and gave them remdesivir. 1186 2:45:56 --> 2:46:05 So then you've got a huge incentive for killing people in hospitals. So sort of, you know, hospital treatment of COVID patients. 1187 2:46:05 --> 2:46:12 What was happening would be another sort of variable to put in. And then just thinking about, could it be a virus? 1188 2:46:12 --> 2:46:20 I know you don't think there is a virus, but I still believe in viruses. I mean, a virus would spread much faster in a town than in a rural area. 1189 2:46:20 --> 2:46:30 And so you would expect sharper peaks in deaths in a town. It would spread more slowly in a rural area. So have you considered those sort of things? 1190 2:46:30 --> 2:46:40 And then my third question is, I may now I dropped out, my internet dropped out for a little about five minutes. So I don't know, you may have answered this, but one thing was interesting. 1191 2:46:40 --> 2:46:49 You kept mentioning Copenhagen, San Francisco, Aberdeen City being different, very low. And I wondered what the explanation for that was. 1192 2:46:49 --> 2:47:06 And just I would love to be given your email address. I'd love you to have mine because I've got various other technical points that I'd like to raise with you and have a bit of a discussion. 1193 2:47:06 --> 2:47:09 Anders, did you hear that? 1194 2:47:09 --> 2:47:12 Yes. 1195 2:47:12 --> 2:47:19 The first question is something I've been working on. 1196 2:47:19 --> 2:47:34 There is a popular way now to use standardized death mortality per 100,000 people. And I think it's really funny because there was a Swedish guy who mentioned that. 1197 2:47:34 --> 2:47:44 And the problem with that is that you exclude the age and Sweden has had a lot of population growth, but mainly in young age group. 1198 2:47:44 --> 2:47:55 And so what is important is to see the changes in mortality in especially the older age group and partly younger maybe. 1199 2:47:55 --> 2:48:07 But it's mainly the 65 plus, which have the strongest changes. So in my opinion, okay, there are different countries. Switzerland, Norway has not a big change in population. 1200 2:48:07 --> 2:48:11 Sweden has. England partly, yes. 1201 2:48:11 --> 2:48:26 So but most of the increases of population have come from immigration of younger people with lower expectations of death than the normal average. 1202 2:48:26 --> 2:48:49 So actually that will contribute to the other side of it. But I've seen, for example, statistics of Sweden where you use standardized age and then you end up with the falling statistics of mortality, which is quite opposing the reality that there has been a substantial increase in mortality in 65 plus. 1203 2:48:49 --> 2:48:59 So that's the first question. The second one, a rural metro. Of course, there are many differences between rural and metro. 1204 2:48:59 --> 2:49:15 But what you need to think of what have really changed the last three years or six years and most of these changes, they are different and have been different for a long time. 1205 2:49:15 --> 2:49:38 So there is not a lot of new things which happened the last, let's say, three years. I may be less commuting and not more. But if you go to the third question about San Francisco or Copenhagen and London as also and Aberdeen. 1206 2:49:38 --> 2:49:46 So I was surprised and I it was contrary to my initial intuition. I thought. 1207 2:49:46 --> 2:49:59 And there would be more radiation smoke in those cities. And that might be and that might be the fact that there is more powerful antennas there. 1208 2:49:59 --> 2:50:24 But the question is, what is people dying of? Is it the antenna? Or is it relatively higher use of your phone or mobile equipment? So, so my, I would say my gut feeling, my data suggests that those who spend more time commuting into and out of the cities. 1209 2:50:24 --> 2:50:37 They have more radiation. And there is one thing I didn't mention earlier, which is quite important. And the Swiss authority, they ended up with a very strict regulations because they didn't look at the radiation. 1210 2:50:37 --> 2:50:46 What is coming to one single person? But if there are 10 people in a small room. 1211 2:50:46 --> 2:50:57 Okay, if you sit five people in the car and four of them are using streaming, you may be subject to 400% increase. 1212 2:50:57 --> 2:51:00 Or radiation. 1213 2:51:00 --> 2:51:21 So, and that is also the general situation in the city and the more people the more radiation because the antennas, they give a kind of constant exposure but the real radiation is directed to the use the phone is not receiving sending much information until you want it to. 1214 2:51:21 --> 2:51:34 And when you put many people together in a car or a bus or a train, or in a classroom or some place, football stadium, all these places, you will have a massive increase of radiation. 1215 2:51:34 --> 2:51:42 And that is one of the, that's a compounding effect rural is less than cities. 1216 2:51:42 --> 2:51:53 All right, we're gonna get moving we're running time for time Claire great questions Claire and just as putting in everybody and just as put his email address in the chat. So Claire you can communicate there. 1217 2:51:53 --> 2:51:58 Last question Jim and a couple of questions, Stephen because we've got to go Jim. 1218 2:51:58 --> 2:52:00 Thanks very much. 1219 2:52:00 --> 2:52:02 Great presentation. 1220 2:52:02 --> 2:52:05 The. 1221 2:52:05 --> 2:52:09 So many questions number one how to protect from the lasers. 1222 2:52:09 --> 2:52:23 In Maui they said that the blue light, the blue wavelength blue tarps blue umbrellas didn't get hit blue cars didn't get hit. Can you talk about that as being protective. 1223 2:52:23 --> 2:52:38 My personal feeling I'm a radiologist like Stephen, or an intervention radiologist, similar to Stephen Frost, and, and, and I think there are multiple shots on goal, like the stars Kobe to spike protein may be different in vaccine or virus form. 1224 2:52:38 --> 2:52:50 Like the spike protein being designed by Jason McClellan and the virus, excuse me in the vaccine that that is slightly different modified and and attacks the myocardium and vascular system. 1225 2:52:50 --> 2:52:53 Multiple shots on gold you accept that as a possibility. 1226 2:52:53 --> 2:53:08 And I also see some genetic specificity in the stars Kobe to spike protein, so that may not harm the people who invented it. What do you know about EMF, and how that, how can the people who invented this, or who are masterminding this protect themselves 1227 2:53:08 --> 2:53:12 and their children. I mean obviously there's good they don't want to harm their own children. 1228 2:53:12 --> 2:53:19 How do they protect themselves. And I'll go on if I have time. Thanks. 1229 2:53:19 --> 2:53:36 We can only speculate, but let's say I saw some of the claims with his blue things in Maui and let's say, I think they were fire protected and so I cannot say about colors I don't want to go into that. 1230 2:53:36 --> 2:53:38 I don't know. 1231 2:53:38 --> 2:53:58 I can refer to a scientist inside the DARPA, who 1232 2:53:58 --> 2:54:25 I don't know if this is a real story, or a smokescreen story. 1233 2:54:25 --> 2:54:37 So that is why I can only say that this is something which may be relevant. 1234 2:54:37 --> 2:54:40 If I find it now. 1235 2:54:40 --> 2:54:45 It looks like I have deleted it there. 1236 2:54:45 --> 2:55:00 So the story is that DARPA in 2021 made an analysis, which looked to be 1237 2:55:00 --> 2:55:03 quite interesting. 1238 2:55:03 --> 2:55:07 It was revealed by project Veritas. 1239 2:55:07 --> 2:55:17 And I will read just a little bit from that to give you something to think about. 1240 2:55:17 --> 2:55:21 By Joseph Murphy, US MC DARPA. 1241 2:55:21 --> 2:55:35 The main point being that the SARS COVID-2 matches the SARS vaccine variants the NIH Ecohealth program was making at Wuhan. 1242 2:55:35 --> 2:55:46 So that says that what NIH Ecohealth was making was not the virus, it was a vaccine. 1243 2:55:46 --> 2:55:52 So that was the spike protein, it was the spike protein, right? 1244 2:55:52 --> 2:55:58 No, it was that they wanted to make a vaccine. 1245 2:55:58 --> 2:56:07 So what is confirmed by DARPA is that what actually was going on in Wuhan was to make a vaccine. 1246 2:56:07 --> 2:56:16 And it was dangerous, they believed, because of the possible toxic nature of the spike protein coming from the vaccine. 1247 2:56:16 --> 2:56:28 So the question is whether it was a dangerous spike protein coming from the vaccine or the vaccine was creating such a poison that 1248 2:56:28 --> 2:56:37 either the lipid nanoparticles or the graphene oxide or whatever it was, that caused a real toxic reaction. 1249 2:56:37 --> 2:56:41 And they called that reaction for the spike protein. 1250 2:56:41 --> 2:56:48 So this is something people have not really considered, what was really going on in Wuhan. 1251 2:56:48 --> 2:56:56 Because when you consider my position that there is no virus, so what was going on in Wuhan? 1252 2:56:56 --> 2:57:06 They were making a dangerous virus. 1253 2:57:06 --> 2:57:09 Thank you. 1254 2:57:09 --> 2:57:11 I'll communicate with you outside. 1255 2:57:11 --> 2:57:12 Thank you. 1256 2:57:12 --> 2:57:13 Yeah, do that. 1257 2:57:13 --> 2:57:15 We've got to go. 1258 2:57:15 --> 2:57:17 Jim, excellent questions you raised. 1259 2:57:17 --> 2:57:19 Anders and Jim, you guys can communicate. 1260 2:57:19 --> 2:57:21 Stephen, last couple of questions because we've got to go. 1261 2:57:21 --> 2:57:28 And those who have got time, go to the Tom Rodman Telegram video conversation that Tom will put the link in again. 1262 2:57:28 --> 2:57:32 Stephen, last couple of questions to you. 1263 2:57:32 --> 2:57:34 Yeah, so I'll do this quickly. 1264 2:57:34 --> 2:57:45 So Anders, what was going on in Wuhan, in my opinion, was a load of false information coming out of inventions, if you like, 1265 2:57:45 --> 2:57:49 coming out of Wuhan so that they could present the narrative. 1266 2:57:49 --> 2:57:53 So I don't believe any of the gain of function. 1267 2:57:53 --> 2:57:55 I don't think there was a pandemic. 1268 2:57:55 --> 2:57:59 I don't think Covid-19 was properly diagnosed. 1269 2:57:59 --> 2:58:03 So there was no Covid-19 as far as I'm concerned as a medical doctor. 1270 2:58:03 --> 2:58:13 And so what was going on in Wuhan was all to create the false narrative and the fear propaganda which followed. 1271 2:58:13 --> 2:58:15 That's my opinion. 1272 2:58:15 --> 2:58:17 There was nothing going well. 1273 2:58:17 --> 2:58:26 Lots of strange things going on there, but it was all was a pack of lies and creation of a false narrative, in my opinion. 1274 2:58:26 --> 2:58:29 So very quickly, what do you think, Anders? 1275 2:58:29 --> 2:58:31 Do you agree with that? 1276 2:58:31 --> 2:58:33 Or not? You don't have to. 1277 2:58:33 --> 2:58:41 Yes, let's say if you go to Dave Martin and he have all these patterns, what was supposed to have been created. 1278 2:58:41 --> 2:58:45 I think that's a huge smoke screen or smoke and mirrors. 1279 2:58:45 --> 2:58:47 All that narrative. 1280 2:58:47 --> 2:58:48 Absolutely. 1281 2:58:48 --> 2:58:49 Yes. 1282 2:58:49 --> 2:58:59 And so is the highly illegal gain of function research illegal to use taxpayers' money in the United States for gain of function research? 1283 2:58:59 --> 2:59:04 So they were highlighting that to give the story more credence. 1284 2:59:04 --> 2:59:06 Do you understand me? 1285 2:59:06 --> 2:59:08 So despite... 1286 2:59:08 --> 2:59:12 If you look retrospectively, what was really dangerous was the vaccine. 1287 2:59:12 --> 2:59:15 So and they must have made such research. 1288 2:59:15 --> 2:59:17 I think it is intentional bad. 1289 2:59:17 --> 2:59:28 I think it is much worse than we still believe because it is reproductive elements there which can be fatal for billions to come. 1290 2:59:28 --> 2:59:29 Absolutely. 1291 2:59:29 --> 2:59:37 So that brings me very nicely to the next reproductive as in reproductive, reproducing the species you mean. 1292 2:59:37 --> 2:59:42 Yes, male and female destruction of that. 1293 2:59:42 --> 2:59:44 And that's targeted. 1294 2:59:44 --> 2:59:55 Nicely to what I wanted to ask you about, which was, have you thought of doing the kind of research that you've done on excess mortality? 1295 2:59:55 --> 3:00:03 Have you thought of actually conducting that on the figures for live births in all the countries in the world? 1296 3:00:03 --> 3:00:04 I don't need to do it. 1297 3:00:04 --> 3:00:05 It's done. 1298 3:00:05 --> 3:00:12 It is a 10, 15, 20 percent reduction in births now since late 21. 1299 3:00:12 --> 3:00:17 So it is already about 16, 20 million people less born. 1300 3:00:17 --> 3:00:19 Which country is that worldwide? 1301 3:00:19 --> 3:00:20 Or can you... 1302 3:00:20 --> 3:00:23 Where is that information? 1303 3:00:23 --> 3:00:26 Data from Africa is poor. 1304 3:00:26 --> 3:00:32 I think you can say Japan, China, Europe, USA, and part of the rest of the world. 1305 3:00:32 --> 3:00:34 But I don't know all the countries. 1306 3:00:34 --> 3:00:42 But what we see is that vaccination is correlated to a massive reduction in births. 1307 3:00:42 --> 3:00:45 Well, yes, but you would say it's not the vaccination. 1308 3:00:45 --> 3:00:46 It's OSE. 1309 3:00:46 --> 3:00:47 Yes, you are. 1310 3:00:47 --> 3:00:49 You mean that... 1311 3:00:49 --> 3:01:07 So you're saying that the electromagnetic radiation frequency, radiation, that is killing people, but also the vaccinations through the graphene oxide or whatever that they injecting. 1312 3:01:07 --> 3:01:09 Is that right or not? 1313 3:01:09 --> 3:01:13 So I think that the vaccine and EMF is a package. 1314 3:01:13 --> 3:01:22 And let's say the full effect of the damage is when you have a graphene oxide and the liquid nanoparticle and the so-called mRNA is a joke. 1315 3:01:22 --> 3:01:36 I think it's like Robert O'Young believed that they use this genetic material to direct the payload, which is LNP and the graphene oxide, to specific organs. 1316 3:01:36 --> 3:01:53 And when the graphene oxide is there and absorbs battery radiation energy like a battery and transmitted out as a transistor to the organs that creates these damages, which Burkhardt has seen in the brain and other organs. 1317 3:01:53 --> 3:01:54 Yes. 1318 3:01:54 --> 3:01:56 So what about the people who are not vaccinated then? 1319 3:01:56 --> 3:01:59 So you must have heard this talk of shedding. 1320 3:01:59 --> 3:02:09 So a lot of people didn't want to talk about it, even on our side, because they couldn't bear to think that even if you're unvaccinated, you could still be attacked. 1321 3:02:09 --> 3:02:12 And so what about the unvaccinated? 1322 3:02:12 --> 3:02:25 And do you have any idea how many times multiplication, if you like, of the effect is caused by being vaccinated? 1323 3:02:25 --> 3:02:30 What we see is that the long COVID is radiation damage. 1324 3:02:30 --> 3:02:32 And all people are affected by that. 1325 3:02:32 --> 3:02:34 Myself too. 1326 3:02:34 --> 3:02:36 I was really not well in the winter. 1327 3:02:36 --> 3:02:39 I was too much exposed to 4G, 5G. 1328 3:02:39 --> 3:02:42 So that's all. 1329 3:02:42 --> 3:02:46 Where are you in Norway, Anders, without being too specific? 1330 3:02:46 --> 3:02:48 Are you in rural or city? 1331 3:02:48 --> 3:02:50 Rural, rural, yes. 1332 3:02:50 --> 3:02:51 OK. 1333 3:02:51 --> 3:02:55 I mean, it's not bad, but I was in Poland at high radiation. 1334 3:02:55 --> 3:02:57 I see. 1335 3:02:57 --> 3:02:59 All right, I see. 1336 3:02:59 --> 3:03:01 Yeah. 1337 3:03:01 --> 3:03:02 All right. 1338 3:03:02 --> 3:03:03 Come on. 1339 3:03:03 --> 3:03:04 One last question. 1340 3:03:04 --> 3:03:05 One last question. 1341 3:03:05 --> 3:03:18 I want to ask Anders, because I think there are many people who will be watching this video in the future and now who want to know from you, how can they protect themselves, both vaccinated and unvaccinated? 1342 3:03:18 --> 3:03:34 And also, if you've got an answer for how much, you know, in your mind, is it 10 times more risk of dying or getting ill if you're vaccinated than unvaccinated from using the mechanism you're describing? 1343 3:03:34 --> 3:03:39 Also, how do we protect ourselves? 1344 3:03:39 --> 3:03:42 Because this is important. 1345 3:03:42 --> 3:03:56 So, so there are two separate causes, which is the vaccination or being graffinated by other means and EMF radiation on its own and the combined effect makes it much worse. 1346 3:03:56 --> 3:04:01 So protection, number one, OK, you don't take more vaccination. 1347 3:04:01 --> 3:04:04 You try to get it out of your body. 1348 3:04:04 --> 3:04:07 You follow nutrition. 1349 3:04:07 --> 3:04:12 You need vitamin D, zinc, some other stuff. 1350 3:04:12 --> 3:04:21 You need to really look seriously into how much radiation you want to have and how. 1351 3:04:21 --> 3:04:23 And that's what you can do. 1352 3:04:23 --> 3:04:34 It's very hard to be 100 percent, but those who continue, I mean, the first two doses was probably containing very little graphene oxide, number three and four, much more. 1353 3:04:34 --> 3:04:37 They will now plan number five or six. 1354 3:04:37 --> 3:04:40 I don't know what it is now in September, October. 1355 3:04:40 --> 3:04:43 This graphene oxide is real poison. 1356 3:04:43 --> 3:04:46 The LNP is real poison. 1357 3:04:46 --> 3:04:53 So and the problem, the LNP, liquid nanotidical, they stay in your body. 1358 3:04:53 --> 3:05:13 They are the building blocks of the so-called DARPA hydrogel and they are blocking the veins, arteria, and they are then being places where this graphene oxide can stay in and destroy your health. 1359 3:05:13 --> 3:05:18 But the worst is EMF. 1360 3:05:18 --> 3:05:27 So Anders, so what about the people on this call, most of whom I think I'm not sure, but I think are unvaccinated. 1361 3:05:27 --> 3:05:33 What about them? What should they do? Get rid of their mobile phones or use them? How much? 1362 3:05:33 --> 3:05:35 Tell us if you know. 1363 3:05:35 --> 3:05:42 I think personally what I do, I listen much less to podcasts online. 1364 3:05:42 --> 3:05:44 I download them. 1365 3:05:44 --> 3:05:49 I turn off the phone on flight mode when I don't want to use it. 1366 3:05:49 --> 3:05:53 I use much less radiation. 1367 3:05:53 --> 3:05:57 I tell my kids, my people around me the same. 1368 3:05:57 --> 3:05:59 So you need to reduce exposure. 1369 3:05:59 --> 3:06:05 If you live in a city where you have antennae over your head, I would have moved out. 1370 3:06:05 --> 3:06:08 I moved out from city. 1371 3:06:08 --> 3:06:09 I understand. 1372 3:06:09 --> 3:06:11 What about measuring the red DM? 1373 3:06:11 --> 3:06:14 We've got to go, Stephen. We're way over. 1374 3:06:14 --> 3:06:16 Well, this is of high interest. 1375 3:06:16 --> 3:06:18 Everything's of high interest. 1376 3:06:18 --> 3:06:20 I have to get the med-load off your bodies. 1377 3:06:20 --> 3:06:22 Go to the Tom Rodman group. 1378 3:06:22 --> 3:06:26 We can go for another three hours, Stephen. We're not going to do that. 1379 3:06:26 --> 3:06:29 I wasn't thinking of three hours. I was thinking of five minutes. 1380 3:06:29 --> 3:06:32 Anyway, okay, Andish, thank you so much for coming on. 1381 3:06:32 --> 3:06:34 Brilliant presentation. 1382 3:06:34 --> 3:06:40 Well, Heiko is a doctor in Norway, he's German, but there's no time, Heiko, by the look of it. 1383 3:06:40 --> 3:06:42 There's no time. 1384 3:06:42 --> 3:06:46 I just want to thank you, Andish, for your brilliant research. 1385 3:06:46 --> 3:06:49 Please carry on and please keep in contact with us. 1386 3:06:49 --> 3:06:53 Are you in touch with Mark Steele? 1387 3:06:54 --> 3:06:59 I've been in touch with him through Robert this summer. 1388 3:06:59 --> 3:07:02 Okay. Yes. 1389 3:07:02 --> 3:07:04 Thank you so much for coming on. 1390 3:07:04 --> 3:07:05 Thank you, Andish. 1391 3:07:05 --> 3:07:09 I trusted my instincts and invited you on. 1392 3:07:09 --> 3:07:11 And you did at this point. Thank you. 1393 3:07:11 --> 3:07:14 Well done, everybody. Thank you, Stephen, for organizing Andish. 1394 3:07:14 --> 3:07:17 Great presentation. Big round of applause. 1395 3:07:17 --> 3:07:19 Everybody, join Tom Rodman group. 1396 3:07:19 --> 3:07:23 Other questions you can discuss there and we'll see you again on Tuesday. 1397 3:07:23 --> 3:07:28 Thank you for sharing all the information that's been shared in the chat. 1398 3:07:28 --> 3:07:32 And just don't forget to save your chat. 1399 3:07:32 --> 3:07:37 And Andish, you'll be automatically invited as a previous guest to all future meetings. 1400 3:07:37 --> 3:07:42 And I would highly recommend that you attend Sunday's meeting with Hans Benjamin Braun. 1401 3:07:42 --> 3:07:46 Absolutely brilliant research, just like yours. 1402 3:07:46 --> 3:07:50 Well, not the same. It's about a different matter. 1403 3:07:50 --> 3:07:53 Oh, I'm using Professor. 1404 3:07:53 --> 3:07:56 I've seen it already. 1405 3:07:56 --> 3:08:00 Oh no, you haven't seen the new one. 1406 3:08:00 --> 3:08:03 Okay. 1407 3:08:03 --> 3:08:06 Yes, it's a different one now. It's part two. 1408 3:08:06 --> 3:08:08 Okay. Okay. 1409 3:08:08 --> 3:08:11 Okay. And thank you so much for coming on. 1410 3:08:11 --> 3:08:14 Thanks, everybody. Thank you. Bye. 1411 3:08:14 --> 3:08:17 Bye. Thank you, John.