The Tucker Carlson Show


Dr. Patrick Soon-Shiong: You’re Being Lied to About Cancer, How It’s Caused, and How to Stop It


Summary

In this episode, we discuss the alarming trend of cancer rates going up in younger people, and in particular, in those with advanced pancreatic cancer. Dr. Robert Lustig, a pediatric surgeon at the Mayo Clinic in Los Angeles, joins us to talk about why this is happening.


Transcript

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00:00:15.440 Doctor, thanks a lot for coming on.
00:00:17.840 So you spent your life, you know, 50 years working on treatments for cancer.
00:00:24.960 And when you started, it seemed like we were moving in the West toward the elimination of cancer.
00:00:33.580 Smoking was a huge emphasis.
00:00:35.240 Get rid of tobacco and cancer rates will drop.
00:00:39.220 Obviously, smoking does cause cancer.
00:00:41.360 And we got rid of it, basically, but cancer rates went up.
00:00:46.020 And that is a very rarely remarked upon mystery that really bothers me.
00:00:51.400 Tell us, since you made billions of dollars selling your companies,
00:00:54.160 but you're still involved in medical research, which I admire.
00:00:57.420 Where are we now with cancer?
00:00:58.880 What are you seeing in cancer rates?
00:01:01.240 Well, what's really worrisome to me now is not just the rate,
00:01:25.800 but the population in which it's increasing, i.e. the younger people.
00:01:29.960 So we're clearly seeing an increase in certain types of cancer,
00:01:36.000 like pancreatic cancer, ovarian cancer.
00:01:38.620 And we're seeing that colon cancer.
00:01:41.060 And we're seeing it in younger people.
00:01:44.480 Just to set a baseline, what's the 10-year survival rate for pancreatic cancer?
00:01:49.020 It's horrible.
00:01:49.840 I think, you know, if you have pancreatic cancer today,
00:01:52.620 I don't think there is a 10-year survival rate, so to speak.
00:01:55.320 Like, what there is, however, if you have patients who are what we call
00:01:59.600 the failed old standard of care, the survival rate is in months.
00:02:03.220 You measure it in two months.
00:02:05.180 That's certainly my understanding, having watched a lot of people die of it.
00:02:07.700 So, advanced pancreatic cancer is a death sentence.
00:02:13.760 Where are you seeing it now?
00:02:16.560 Well, I've got to tell you a really concerning story.
00:02:20.320 It's not only I'm seeing it now, I'm seeing it in younger people.
00:02:24.740 And for the first time in my career, you know, when I left UCLA,
00:02:29.940 I was doing all the whipples, which is a surgery to actually remove
00:02:33.020 most of the pancreas, a very big operation.
00:02:35.180 You're a surgeon as well.
00:02:36.120 I'm a surgeon.
00:02:36.780 Yes.
00:02:37.240 And I was also doing pancreas transplants for type 2 diabetes
00:02:40.200 and islet cell transplants and stem cell transplants.
00:02:43.820 So, I had this diverse activity as a UCLA assistant professor.
00:02:48.240 But I never saw pancreatic cancer in children.
00:02:53.600 And the greatest surprise to me was a 13-year-old with metastatic pancreatic cancer
00:03:02.460 that the family called us to help.
00:03:06.980 And to me, that was not only devastating, it emphasized the idea that we're seeing
00:03:11.840 people with higher incidence of pancreatic cancer and younger.
00:03:16.300 Right now in our clinic, we have a 45-year-old, 50-year-old.
00:03:22.600 And what was sad about this young boy, by the time he came to see us,
00:03:29.120 he had exhausted all the standards of care.
00:03:32.240 And he came from Butler, Pennsylvania.
00:03:35.700 And all the major medical centers really had exhausted all their therapy.
00:03:41.100 And by the time he came to see us, his body was ridden and he passed away.
00:03:47.520 So, seeing cancers now in younger people and almost a rise, almost like a,
00:03:57.120 I don't want to call it a non-infectious pandemic,
00:03:59.680 but this is what I think is going to, the worrisome in the world,
00:04:02.920 not just in the United States, but largely in the United States,
00:04:06.000 we're beginning to see this, and it's really worrisome.
00:04:08.300 A non-infectious pandemic of cancer, including deadly cancers.
00:04:13.360 Correct.
00:04:14.480 Like pancreatic.
00:04:16.360 In your career, which I think is about 50 years of working on this,
00:04:20.840 how many 13-year-old pancreatic cancer patients have you seen?
00:04:24.040 Never.
00:04:24.860 Never.
00:04:26.520 I inquired around because it bothered me so much now
00:04:30.400 of why this is happening.
00:04:34.680 So, Dr. Stephen Day was a good friend who was trained with me at UCLA when I was at UCLA.
00:04:42.460 He's now at the Angeles Clinic.
00:04:43.860 And I called him and he said,
00:04:45.200 Listen, Patrick, I'm now seeing an 8-year-old, a 10-year-old, an 11-year-old with colon cancer.
00:04:50.940 Colon cancer?
00:04:51.700 Colon cancer.
00:04:53.340 We've never seen that.
00:04:55.580 We're seeing now 30-year-old, 40-year-old ladies, young ladies with ovarian cancer.
00:05:01.120 So, this is a real phenomenon of a rise of cancer in early people, in young people,
00:05:08.140 and really need to get to the bottom of that.
00:05:12.340 Do you notice a difference in the virility of the cancer, of the speed with which it moves?
00:05:18.520 Well, I'm getting reports, they've even called it turbocharged cancer.
00:05:24.260 Yes, I've heard that phrase.
00:05:25.160 Right?
00:05:25.560 I'm getting reports of that now, that people that have been in remission before even,
00:05:30.320 are now getting back their cancers and very rapidly progressing.
00:05:36.240 So, if you really think about what the cause of cancer is, you know,
00:05:41.220 and I did a piece with Sanjay Gupta many, many years ago on 60 Minutes.
00:05:46.560 And I said, you know, the cause of cancer is its inability,
00:05:50.360 it's not the rapidity of its growth, but its inability to die.
00:05:54.260 And its inability to die is because it either hides from the cells that matter,
00:06:00.880 i.e. your natural killer cells, your T-cells,
00:06:03.920 or, and this is what I'm really worried about,
00:06:07.560 your body and the cancer has found a way to suppress your killer cells.
00:06:13.940 And once they do that, once they activate what you call the suppressor cells,
00:06:20.400 and you call yourself immunosuppressed,
00:06:23.020 then I think you see this rapid progression because there's nothing stopping them.
00:06:28.660 So, what could possibly be causing this?
00:06:36.360 Well, I think if you look back of causes, you know, ironically, when I was doing at UCLA,
00:06:43.680 I was working on pancreas transplant where I want to immunosuppress the patients.
00:06:48.080 Yes, you have to.
00:06:48.980 Yeah, because you prevent it.
00:06:50.580 And then I was working on cancer where I don't want to immunosuppress.
00:06:54.680 So, I needed to understand the body's mechanism.
00:07:00.020 And we have a crazy, wonderful, exquisite balance in our body.
00:07:05.280 You have the yin and the yang of the killer cells,
00:07:10.260 and these things called natural killer cells and T-cells.
00:07:12.580 Whose job is to kill anything that threatens the body?
00:07:17.260 Whose job is to kill, quite right, anything that threatens the body,
00:07:21.700 whether the body has infection, if you have TB, you have HIV,
00:07:26.660 if you have hepatitis, you have COVID.
00:07:31.060 These cells are there to recognize these infected cells and kill it.
00:07:35.720 As you and I are sitting here today, our stem cells are growing
00:07:40.480 in order to replenish parts of your body, your heart.
00:07:44.200 If you didn't have that, you wouldn't have a heart.
00:07:46.120 At the age of 14, you need those stem cells.
00:07:48.960 But mathematically, there are some cells that are transformed,
00:07:52.960 and your body recognizes that through these natural killer cells and kills it.
00:07:57.180 I call that nature's first responder.
00:08:00.860 And that's your mechanism.
00:08:02.700 That's how we are all protected, and we are in the state of equilibrium or balance.
00:08:07.900 On the other hand, the moment either the tumor finds a way to hide from these cells,
00:08:13.760 or your body's, or the tumor, causes these cells to be suppressed.
00:08:21.760 And that's why I call this suppressor cells.
00:08:23.960 And there are certain cells in your body called T-reg cells or myeloderived suppressor cells.
00:08:29.400 It's all technical, that when they get up-regulated, you've lost your protection.
00:08:38.120 And so the question then is, how do we understand this balance?
00:08:41.920 How do we increase the killers, and how do we decrease the suppressors?
00:08:45.900 So that's been 50 years of my challenge of, and how do we expose the tumor?
00:08:51.380 So on the one hand, you need to expose the tumor, because it hides from the killers.
00:08:57.740 And on the other hand, you activate the killers.
00:08:59.780 And on the other hand, you have to suppress the suppressors.
00:09:02.000 So we're truly playing a game of chess.
00:09:05.740 And I think like astrophysicists, where you're looking for God's particle,
00:09:11.200 where all these molecules are floating around, talking to each other.
00:09:14.700 All the cells are floating around, talking to each other.
00:09:17.420 And there's dynamic interaction.
00:09:21.000 And how do you understand all of that?
00:09:23.360 You know, one of the best, most fun lectures I gave,
00:09:27.620 I gave a lot of lectures on this and tried to be non-technical,
00:09:31.360 because it's what I call basic immunology.
00:09:34.640 And the problem with cancer is it's been treated by oncologists and not immunologists.
00:09:45.080 And immunologists don't see patients because they look at basic immunology.
00:09:48.920 And then when you have infection and you have virology,
00:09:52.000 so this cross-disciplines of virology, immunology, oncology,
00:09:56.580 all these ologies don't talk to each other.
00:09:59.220 Yes.
00:09:59.240 So you're saying, just big picture for non-specialists, of which I'm, of course, one,
00:10:05.700 you're saying that cancer is to some extent a problem with your immune system.
00:10:10.120 It is everything about your immune system.
00:10:11.860 So you've got all kinds of defective cells that could become cancer or cancer in your body at all times.
00:10:16.400 At all times.
00:10:17.500 But your body is zapping them.
00:10:18.980 Correct.
00:10:19.520 Right.
00:10:19.940 And that's the fundamental balance of the human body.
00:10:22.700 Correct.
00:10:23.060 And when that body gets out of balance, when the killer cells become suppressed or less effective,
00:10:30.540 that's when you get cancer.
00:10:31.360 Correct.
00:10:32.600 Okay.
00:10:33.280 So I'm sorry to interrupt.
00:10:34.120 I just want to keep this.
00:10:34.340 No, I love it because that's the perfect interpretation that I couldn't do in a non-technical way
00:10:45.700 because I think that's a, I get too nerdy.
00:10:48.640 So I'm glad.
00:10:50.020 Well, you are a doctor.
00:10:51.100 So, but that's, that's, I think, is what's happening in our body.
00:10:58.900 We have these perturbations, but we're in equilibrium, you know, and that's a good thing.
00:11:04.360 The moment you knock yourself out of equilibrium, now what could knock you out of equilibrium?
00:11:09.840 And that's why when, you know, Bobby Kennedy is talking about and standing up about the toxins in our food,
00:11:15.920 the toxins in PFAS, the processed food, and viral infections.
00:11:25.440 And really what knocks you out of balance basically is inflammation.
00:11:29.640 If you have inflammation in your body, there's this, now I'm going to get nerdy again,
00:11:38.300 these cells called neutrophils that actually see an infection and tries to kill it, which it does.
00:11:44.080 But if there's persistent inflammation, these neutrophils actually flip into a suppressor cell.
00:11:49.300 So what people don't realize is that we have the yin yang in our body, that every cell has a counter cell.
00:11:59.480 And that's where I was about to go there.
00:12:01.660 I said the most fun conversation I had where I was asked by astrophysicists or physicists to give a lecture,
00:12:09.300 is I named this concept of cancer a quantum theory, like a physicist.
00:12:19.200 And that in our body, we have cells that can be in two states.
00:12:25.140 It can be a killer or a suppressor.
00:12:28.700 And like the Schroeder's cat, it could be alive or dead.
00:12:32.660 And it depends what you do with it.
00:12:34.460 And so I named this thing Quantum Oncotherapeutics, just to be controversial,
00:12:39.820 so that doctors could understand what I'm talking about,
00:12:43.160 is that we need to understand the fact that you have a killer T cell and you have a killer suppressor cell.
00:12:53.200 We have an M1 macrophage that actually chomps things up, an M2 macrophage that blocks that.
00:12:58.960 You have an NK cell that kills, an NK cell that inhibits.
00:13:03.260 And we need to have that balance, otherwise you'll get into autoimmune disease.
00:13:08.620 But there's a thing called quantum entanglement, that is the cat alive or is the cat dead?
00:13:14.960 If somebody interacts with that, and the person that interacts with that is the doctor.
00:13:20.780 So you, as a doctor, could either be enlightened enough to activate just the activators and suppress the suppressors,
00:13:31.380 and change the dynamic towards the cure.
00:13:36.520 But it's very complex because it's now quantum,
00:13:39.760 because all those changes are happening in minutes in your body.
00:13:43.960 These molecules, like God's particle, where they're colliding with each other,
00:13:49.300 and cells are colliding and interacting, happens within minutes.
00:13:54.020 So you need to have a theory of how do you interact at that level.
00:13:59.860 And in so doing, the first thing you need to understand is, how does cancer happen?
00:14:06.100 And then how does it grow?
00:14:09.180 How do you stop it?
00:14:12.260 This idea of a vaccine, a cancer vaccine,
00:14:15.860 do you radiate that cancer?
00:14:19.120 Do you remove that cancer?
00:14:20.440 Do you remove the lymph nodes?
00:14:21.820 Do you give chemotherapy?
00:14:22.720 And crazy enough, over the last 50 years,
00:14:27.520 I figured out that everything we're doing
00:14:29.780 is not the word wrong,
00:14:33.340 because that's a bad statement, a pejorative statement.
00:14:36.480 It's not enlightened, a better way to say it.
00:14:39.420 Because everything we're doing is tipping the scales towards the suppressor cells.
00:14:43.680 We're activating the suppressor cells.
00:14:45.920 We're not activating the killing cells.
00:14:48.580 And we can go into this conversation where I can explain that.
00:14:51.100 So the key system, which you just said,
00:14:54.560 is cancer is all about the immune system.
00:14:57.600 So if you activate the immunosuppression system,
00:15:01.220 you get more cancer.
00:15:02.760 So then the fundamental root cause is,
00:15:05.140 what's activating that immune system on the other way?
00:15:08.340 Yes.
00:15:08.760 And that's inflammation.
00:15:09.400 Something is suppressing people's immune systems,
00:15:12.820 including the poor 13-year-old boy who died of pancreatic cancer.
00:15:16.420 And the question is, what is that?
00:15:17.780 And maybe there are a lot of causes,
00:15:18.960 but it is, you know, we're not the first people to notice
00:15:21.400 there's been an increase in scary cancers in populations
00:15:24.780 that didn't used to get them.
00:15:26.180 It's very obvious just from living here.
00:15:29.060 And a lot of people have pointed to both COVID,
00:15:31.780 the virus, and to the mRNA COVID vaccines
00:15:34.280 as potential causes.
00:15:36.700 Do you think that they're related?
00:15:38.020 The best way for me to answer that is to look at history.
00:15:44.100 What we know about virally-induced cancers is well established.
00:15:48.260 We know that if you get hepatitis, you get liver cancer.
00:15:52.780 Hepatitis is a virus infection.
00:15:55.260 We know if you get human papillomavirus, HPV,
00:15:58.560 you get cervical cancer.
00:16:00.060 Yes.
00:16:00.240 Certain kinds of throat cancer are caused by viruses as well, right?
00:16:06.620 If you get HIV, you get Kaposi's sarcoma.
00:16:08.940 Yes.
00:16:10.240 So we call that oncogenic viruses in medical terms,
00:16:15.080 meaning viruses that are induced carcinogenic.
00:16:17.620 And the fundamental basis for that are threefold.
00:16:21.640 The hallmarks of an oncogenic virus is one, it must persist.
00:16:24.720 And why?
00:16:26.480 Because it continues to create inflammation.
00:16:29.080 And why?
00:16:29.820 With inflammation, you get suppression.
00:16:31.920 Because your body is trying to suppress it.
00:16:35.160 It must inhibit the thing called P53 that's in your body
00:16:38.620 to try and protect your body from not having cancer.
00:16:43.180 And if it persists and causes inflammation
00:16:45.880 and inhibits P53,
00:16:49.120 it begins to have the hallmarks of an oncogenic virus.
00:16:53.040 So then the question is,
00:16:55.840 does COVID,
00:16:57.260 whether it come from the vaccine,
00:16:58.860 which is the spike protein vaccine,
00:17:01.560 or from the infection,
00:17:03.180 which is spike-driven,
00:17:04.600 that gets into every cell of our body?
00:17:07.180 Because it goes to the...
00:17:08.000 Every cell of the body?
00:17:09.080 It goes wherever you have this thing called the ACE2 receptor,
00:17:12.300 which is in the blood vessels.
00:17:13.740 So wherever you have a blood vessel in your body,
00:17:16.720 it's where it's going to go.
00:17:18.120 And if it has an ACE2 receptor on that blood vessel,
00:17:20.280 that's where it can go.
00:17:21.160 Because that's the purpose of the spike protein,
00:17:23.380 to penetrate,
00:17:24.260 to hijack that ACE2 receptor and get into their cells.
00:17:28.480 So that's why it gets in the pancreas.
00:17:29.920 That's why you have brain fog,
00:17:31.520 because it disrupts the blood vessels of the brain
00:17:34.200 and causes mitochondrial dysfunction.
00:17:35.960 That's why in the colon,
00:17:37.360 which is a high...
00:17:38.300 In the GI tract,
00:17:39.240 there's a high ACE2 receptor.
00:17:41.080 That's why pancreas are a high ACE2 receptor,
00:17:43.600 where that's why you people have...
00:17:45.520 In the heart,
00:17:46.300 you have dysfunction.
00:17:47.200 You've seen young people have sudden heart attacks all of a sudden.
00:17:53.220 You see young people with pancreatic cancer all of a sudden.
00:17:55.880 You see young people with colon cancer all of a sudden.
00:17:59.300 So is it by coincidence that post-COVID infection,
00:18:05.980 post-COVID vaccine,
00:18:07.440 we're seeing all these events
00:18:08.660 where we know the spike protein goes there?
00:18:12.060 I don't think so.
00:18:13.760 I think it's not a coincidence.
00:18:15.560 So the question is,
00:18:16.840 can we prove,
00:18:18.500 is this what I call long COVID virus persisting?
00:18:23.720 And the group at University of California,
00:18:26.100 San Francisco,
00:18:27.300 has now definitively proven that
00:18:29.060 and published that in papers like Nature.
00:18:32.200 Can we also prove that
00:18:33.460 once you have that persistence of that virus,
00:18:35.560 does that COVID virus suppress the natural killer cell?
00:18:39.420 Does the natural killer cell actually
00:18:41.240 not only go to sleep,
00:18:43.480 becomes what you call anergic?
00:18:45.720 That's now been published.
00:18:48.140 The natural killer cell has gone to sleep.
00:18:52.340 So by your definition,
00:18:55.080 we just solve the mystery right there.
00:18:58.340 I think so.
00:18:59.940 I think this is a conversation I had with the...
00:19:02.540 But wait,
00:19:02.940 I mean,
00:19:04.360 billions of people,
00:19:05.700 literally billions of people
00:19:07.160 had the COVID virus.
00:19:08.200 Over a billion got the spike protein vaccine.
00:19:13.360 So that's like,
00:19:14.660 we're talking like a huge percentage
00:19:16.620 of the Earth's population.
00:19:19.140 Unless I'm missing something.
00:19:20.960 Now you understand what keeps you awake at night.
00:19:24.220 And it's kept me awake at night for two years.
00:19:27.180 Two and a half years.
00:19:28.660 And that's why I sort of abandoned everything
00:19:30.720 just to focus on how do we clear the virus.
00:19:34.100 Because the answer is to clear the virus.
00:19:36.400 From the body.
00:19:37.180 From the body.
00:19:38.200 The answer is to stop the inflammation.
00:19:40.760 Because it's chronic inflammation.
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00:22:39.280 That's 1-800-780-8888.
00:22:42.500 So can I ask a dumb question?
00:22:44.160 How long does the virus remain in the human body if not?
00:22:47.380 So far we've found three years, four years.
00:22:50.280 Is there any reason to believe it'll naturally go away?
00:22:53.740 Not if your body's aim is suppressed.
00:22:57.160 So it's a circle.
00:23:00.200 You ask what causes cancer
00:23:01.980 because your body's aim is suppressed.
00:23:05.040 You have in your body nature's compound.
00:23:09.480 And if the tumor or the infection or the inflammation
00:23:12.660 suppresses it,
00:23:15.140 you have to find a way to reactivate it
00:23:18.040 and clear the virus.
00:23:19.580 It's literally as simple as that.
00:23:23.220 And that's the missing link that I think...
00:23:25.660 So it sounds like you're describing
00:23:27.100 what could be like the worst human health crisis in history.
00:23:32.400 I don't know how to say that.
00:23:35.860 Without saying it,
00:23:37.540 it scares the pants off me
00:23:38.880 because I think
00:23:39.760 what we may be...
00:23:42.100 I don't think it's virus versus man now.
00:23:45.660 You're right.
00:23:46.200 This is existential.
00:23:49.340 I think
00:23:50.560 when I talk about
00:23:52.140 the largest non-infectious
00:23:53.860 pandemic that we're afraid of,
00:23:56.880 this is it.
00:23:59.320 Because
00:24:00.000 while there was an increase rise in cancer
00:24:02.700 in our country
00:24:03.320 because of the idea of
00:24:05.500 the toxins and everything else,
00:24:08.080 this immunosuppression
00:24:09.720 that has occurred now globally
00:24:11.480 and more importantly
00:24:13.820 the immunosuppression
00:24:14.680 tied to inflammation,
00:24:16.220 chronic inflammation,
00:24:17.520 which is asymptomatic
00:24:19.560 and sometimes
00:24:20.220 and sometimes it's not.
00:24:21.340 There's 15 million Americans
00:24:22.820 with long COVID.
00:24:24.900 And they're not psychiatric
00:24:26.500 when they have memory loss.
00:24:29.880 They're not psychiatric
00:24:31.160 when they have instantaneous heart attacks.
00:24:33.960 It's not psychiatric
00:24:35.340 when you have an 8-year-old,
00:24:36.480 10-year-old colon cancer.
00:24:38.080 A 13-year-old pancreatic cancer.
00:24:41.500 So
00:24:41.740 the
00:24:44.120 idea was
00:24:46.820 is there a solution?
00:24:49.020 And this is what...
00:24:50.100 Well, I certainly hope so.
00:24:51.420 Because you spent your life
00:24:52.860 around scary diseases.
00:24:54.380 Like that's been your life.
00:24:56.720 And if you're scared,
00:24:58.680 then that's
00:24:59.360 that's not a good sign.
00:25:02.540 I'm scared but hopeful.
00:25:04.400 I think it's important for me
00:25:06.200 to have this conversation with you
00:25:07.680 not to...
00:25:08.240 That's why...
00:25:09.620 Okay, I'll share with you
00:25:10.960 a conversation I had.
00:25:11.880 I got invited by the CEO
00:25:13.400 of the Henry Jackson Foundation
00:25:14.640 to come to
00:25:15.600 D.C.
00:25:17.980 I think October, November last year
00:25:19.760 during the election phase.
00:25:22.020 And just to have a conversation
00:25:23.420 about what I'm doing.
00:25:25.020 And there he brought the leader
00:25:28.640 from Walter Reed,
00:25:30.840 the Barter,
00:25:32.680 the DOD,
00:25:34.980 the NIH,
00:25:36.060 the NID,
00:25:37.400 all into that room.
00:25:38.420 It was just me.
00:25:40.560 And I said,
00:25:41.760 it is time.
00:25:42.760 It is time for me to reveal
00:25:44.440 to this learned group
00:25:46.400 of leaders
00:25:47.320 about what I'm scared about.
00:25:49.160 And I spent,
00:25:51.360 I think it was three hours,
00:25:52.860 no slides,
00:25:54.020 just me speaking alone
00:25:55.220 on the stage
00:25:55.900 and all of them
00:25:56.780 in the audience.
00:25:58.660 When I first started
00:25:59.880 the conversation,
00:26:00.720 the first sentence was,
00:26:01.960 I think COVID
00:26:02.980 is oncogenic.
00:26:05.400 One of the members
00:26:06.320 of the audience
00:26:06.680 said,
00:26:06.940 that's nonsense.
00:26:08.440 I said,
00:26:08.840 okay,
00:26:09.540 let me explain to you
00:26:10.400 what we've been doing
00:26:11.600 in our research.
00:26:13.140 At the end of three hours,
00:26:14.720 four hours,
00:26:15.040 he said,
00:26:15.260 you've got to publish this.
00:26:16.580 This is so important.
00:26:19.000 And I said,
00:26:20.080 yes,
00:26:20.940 we are processing
00:26:22.340 the publication
00:26:23.100 and what came out
00:26:24.080 was this paper
00:26:24.860 that they biopsied
00:26:26.620 the colon of young people
00:26:28.240 temporarily
00:26:28.940 when no COVID
00:26:30.160 to COVID
00:26:30.760 and showed
00:26:32.040 the persistence
00:26:32.880 of replicating viruses
00:26:34.820 in the colon tissue
00:26:36.200 two years out.
00:26:38.660 Replicating COVID viruses?
00:26:40.220 Replicating COVID viruses.
00:26:43.520 Replicating.
00:26:44.160 Asymptomatic replicating
00:26:49.060 in the tissue,
00:26:50.680 meaning there's inflammation.
00:26:53.940 And when you have
00:26:54.660 this inflammation,
00:26:55.480 these neutrophils,
00:26:56.500 now getting geeky again,
00:26:59.540 plasticize,
00:27:00.560 flip
00:27:00.860 from a protective neutrophil
00:27:03.100 to a suppressive neutrophil.
00:27:04.940 It's called an N2.
00:27:06.780 It's called a
00:27:07.540 myeloderived suppressor cell.
00:27:09.280 That's an official name.
00:27:10.480 So now you have suppression
00:27:13.840 in your body.
00:27:16.740 And it's no wonder
00:27:17.820 that then converts
00:27:18.820 into colon cancer.
00:27:20.940 But so,
00:27:21.460 is this true,
00:27:22.420 do you think,
00:27:22.940 for,
00:27:23.240 I mean,
00:27:23.500 have you had COVID?
00:27:24.920 No.
00:27:26.620 Lucky man.
00:27:27.780 Not lucky man.
00:27:29.340 T-cell man.
00:27:31.460 I have a T-cell
00:27:32.520 in my body
00:27:33.900 that protects me
00:27:35.660 from the nucleocapsid.
00:27:36.660 Where do I get one?
00:27:41.060 That trial
00:27:42.420 was held up
00:27:43.180 by the FDA
00:27:44.060 and by Collins and Fauci.
00:27:45.940 But you never got COVID
00:27:47.100 because your protector cells
00:27:48.580 were so strong?
00:27:51.460 Not only
00:27:52.180 I protect ourselves.
00:27:53.060 If I do get COVID,
00:27:53.900 the virus clears.
00:27:55.980 You want to clear
00:27:57.040 the virus.
00:27:58.160 Get the hell
00:27:58.660 out of my body.
00:27:59.840 Get it out.
00:28:01.960 Wait,
00:28:02.340 I just want to pause here.
00:28:03.360 I know you're in the midst
00:28:04.320 of a much larger story,
00:28:05.300 but this is something
00:28:05.960 I think everyone
00:28:06.500 can understand.
00:28:07.320 So,
00:28:08.260 I think I'm in good health.
00:28:09.640 I am in very robust.
00:28:11.060 Did you have COVID?
00:28:11.720 I did.
00:28:12.560 How many times?
00:28:13.360 One.
00:28:14.200 I never took the vaccine.
00:28:16.380 Okay.
00:28:18.420 But I got COVID.
00:28:20.880 Knocked me right on my butt.
00:28:22.600 It was a bad three days.
00:28:24.560 Fine.
00:28:25.760 But
00:28:26.160 I don't understand
00:28:27.780 you're older than I am.
00:28:29.340 How did you never get,
00:28:30.440 let's just,
00:28:30.780 I just want to
00:28:31.220 get very specific.
00:28:33.200 Like,
00:28:33.800 how did,
00:28:34.380 I mean,
00:28:34.560 everyone on the planet
00:28:35.700 got COVID.
00:28:36.380 Okay.
00:28:36.560 So,
00:28:36.800 let me,
00:28:37.080 let me give you some idea.
00:28:38.460 Okay.
00:28:42.280 One,
00:28:42.780 because we understand
00:28:44.300 the implications.
00:28:46.320 My wife,
00:28:47.080 Dutchwood,
00:28:47.960 also never got COVID
00:28:48.900 because both of us.
00:28:49.980 So,
00:28:50.240 this is,
00:28:50.620 this is the story.
00:28:54.860 We,
00:28:55.500 by,
00:28:56.040 by,
00:28:56.740 that,
00:28:57.200 unfortunately,
00:28:57.860 I relate this,
00:28:58.780 it's a painful thing to me
00:29:00.540 because I related to Kobe's death.
00:29:01.920 It was during Kobe's time
00:29:03.100 when he passed away
00:29:04.000 and at the funeral.
00:29:06.700 Kobe Bryant,
00:29:07.380 who you were,
00:29:07.720 you were close to.
00:29:08.560 Correct.
00:29:09.020 Very close to.
00:29:10.620 And at the funeral,
00:29:12.140 at his funeral,
00:29:13.760 all the people in the room
00:29:15.040 and there's,
00:29:17.020 I think,
00:29:17.460 November
00:29:17.920 and I turned to Gavin Newsom
00:29:20.540 and I said,
00:29:20.960 listen,
00:29:22.200 this is one virus
00:29:23.500 I'm worried about
00:29:24.360 because I was studying
00:29:25.220 this virus.
00:29:26.100 You know,
00:29:26.560 I understand HPV very well
00:29:28.240 and I understand hepatitis.
00:29:30.040 I said,
00:29:30.440 this is not a respiratory virus,
00:29:31.920 this is a dangerous virus.
00:29:35.180 So,
00:29:35.720 I went back
00:29:36.340 and I shut down
00:29:37.760 our organization
00:29:39.140 so that we could actually
00:29:41.080 do nothing else
00:29:42.200 but COVID.
00:29:43.280 My entire team
00:29:44.340 of hundreds of scientists
00:29:45.620 on Zoom
00:29:47.140 and everything else
00:29:48.220 around the world
00:29:48.640 and I said,
00:29:49.080 we must
00:29:50.080 go after this virus
00:29:52.080 with a vaccine
00:29:52.920 that clears the virus.
00:29:55.780 And the only way
00:29:57.320 to clear the virus
00:29:58.320 is to have
00:29:59.660 what we call
00:30:00.100 a T-cell
00:30:00.660 and NK-cell,
00:30:01.560 the cells that kills
00:30:02.560 cancer cells.
00:30:04.460 And I wrote a paper
00:30:05.360 with Carl Scudone
00:30:06.180 that said,
00:30:06.600 COVID's like cancer
00:30:07.420 and cancer's like COVID.
00:30:09.260 Meaning,
00:30:09.980 it's immune suppression
00:30:10.980 that causes
00:30:11.680 its spread
00:30:13.060 and it's immune suppression
00:30:14.960 by the COVID virus
00:30:16.240 that allows it to persist.
00:30:18.840 So,
00:30:19.640 the only vaccine
00:30:20.800 that's important
00:30:21.580 is a T-cell vaccine.
00:30:23.720 But,
00:30:24.060 that's what I'm telling you,
00:30:24.900 virologists
00:30:25.980 think about antibodies
00:30:27.120 versus cellular therapy.
00:30:29.820 It's foreign to them
00:30:31.080 to have a vaccine
00:30:32.720 that stimulates T-cells.
00:30:36.840 So,
00:30:37.480 I said,
00:30:37.780 I understand that
00:30:38.720 internally.
00:30:39.960 It's a little weird
00:30:40.540 since in 20 minutes
00:30:41.640 you explained it to me,
00:30:42.860 not particularly high IQ,
00:30:44.220 not a scientist.
00:30:45.120 I understand exactly
00:30:45.920 what you're saying.
00:30:47.180 Why don't,
00:30:47.760 why isn't it obvious
00:30:48.920 to virologists,
00:30:50.480 why isn't that like
00:30:52.200 day one lesson
00:30:54.060 in virology school
00:30:55.460 that the T-cells,
00:30:57.300 the cells that
00:30:58.660 protect you
00:30:59.940 against all potential
00:31:00.980 internal harm,
00:31:02.400 they're the key.
00:31:03.180 because every vaccine
00:31:04.580 so far is antibody-based.
00:31:07.900 Dogma.
00:31:09.060 Dogma.
00:31:09.760 Blind spots.
00:31:12.200 Okay.
00:31:13.000 Now we're cooking with gas.
00:31:14.400 Now I understand
00:31:15.020 what you're talking about.
00:31:16.540 Dogma.
00:31:17.440 Blind spots.
00:31:18.320 Nicely put.
00:31:19.480 Okay,
00:31:19.660 I'm sorry,
00:31:20.020 I keep stepping on your story.
00:31:21.160 So,
00:31:21.500 you figure out.
00:31:22.760 You're not stepping
00:31:23.360 because you're allowing,
00:31:24.720 you're actually interpreting
00:31:25.760 as pleasure to me
00:31:27.080 because I don't know
00:31:27.860 what I'm saying sometimes,
00:31:29.060 whether it's going to be
00:31:29.920 so geeky,
00:31:30.840 it gets lost.
00:31:31.480 It's important for the audience
00:31:32.760 for you to interpret.
00:31:34.000 This is what Sanjay did for me
00:31:35.300 in the 60 minutes.
00:31:36.200 He was brilliant.
00:31:37.200 He spent two years with me,
00:31:38.560 by the way,
00:31:39.560 doing a little 15-minute piece.
00:31:42.180 Wow.
00:31:42.820 Yeah,
00:31:43.120 we'd come to LA,
00:31:44.020 we'd do this,
00:31:44.600 shoot, shoot, shoot, shoot, shoot.
00:31:46.000 Damn, we just had breakfast.
00:31:47.220 That's it?
00:31:48.920 Okay,
00:31:49.940 so you figure out early,
00:31:52.100 everyone's panicked about COVID,
00:31:53.720 okay?
00:31:54.660 But your position is
00:31:55.760 they're panicked
00:31:56.280 for the wrong reasons.
00:31:57.240 Correct.
00:31:57.420 And actually,
00:31:58.180 maybe they're not quite as panicked
00:31:59.340 as they should be
00:31:59.940 because this virus
00:32:01.660 could pave the way
00:32:02.780 for cancer
00:32:03.340 because it will suppress
00:32:04.280 the immune system
00:32:04.980 of the human body.
00:32:06.400 So you,
00:32:07.680 in November,
00:32:08.360 you said?
00:32:08.920 When did you?
00:32:09.400 Right,
00:32:09.600 so by March 2020,
00:32:12.960 we had the vaccine.
00:32:15.140 March 2020,
00:32:16.280 because I had built
00:32:17.440 a full GMP facility
00:32:19.340 for cancer
00:32:20.840 using the same vaccine
00:32:22.560 that NCI had retested
00:32:24.340 for HPV
00:32:25.180 and for colon cancer,
00:32:26.860 a thing called CA.
00:32:27.520 So I'd create this vaccine
00:32:29.760 in which we would
00:32:31.760 educate your body
00:32:33.080 prior to COVID
00:32:34.100 for the treatment of cancer
00:32:36.980 to educate the T cells
00:32:38.480 to recognize the cancer cell
00:32:39.820 to kill it.
00:32:41.620 That's called a cancer vaccine,
00:32:43.200 but which,
00:32:43.660 by the way,
00:32:44.200 is for the only vaccine
00:32:45.840 in clinical trials today
00:32:47.060 to prevent cancer
00:32:48.060 that the NCI is running
00:32:49.380 using our technology.
00:32:50.520 Is there any way
00:32:50.880 you can take the word vaccine out
00:32:52.020 and call it something else?
00:32:52.820 I'm calling it BioShield.
00:32:54.120 Good.
00:32:54.900 Because vaccine
00:32:56.080 just scares the crap out of people.
00:32:57.400 Because it's not a vaccine
00:33:00.140 in that general sense
00:33:01.720 of an antibody-based vaccine.
00:33:03.320 It's your body's BioShield.
00:33:05.380 So we'll announce it on the show.
00:33:07.420 We're going to call this
00:33:08.260 Project BioShield,
00:33:09.500 which, by the way,
00:33:10.520 in 2004,
00:33:11.660 there was a BioShield Act
00:33:13.060 for national preparedness
00:33:14.540 against radiation,
00:33:18.160 against a pandemic
00:33:20.160 of infectious diseases.
00:33:21.220 So we have the worst thing
00:33:26.040 that could happen to you
00:33:27.340 is to have one dose of radiation
00:33:30.840 will wipe out your NK cells
00:33:32.460 and your T cells.
00:33:33.840 That's how you die.
00:33:35.280 Yes.
00:33:35.420 That's how you get cancer.
00:33:36.580 It zaps your immune system.
00:33:37.560 It zaps your immune system.
00:33:38.760 So we wanted to create
00:33:41.260 a BioShield.
00:33:42.720 And the BioShield
00:33:43.820 is to educate your body
00:33:45.460 to have these T cells
00:33:46.980 called memory T cells
00:33:48.140 that go and hide in the bone marrow
00:33:49.820 and come out when they need it
00:33:51.340 and kill that cell
00:33:54.020 so it can never do damage.
00:33:56.220 That's the concept.
00:33:57.440 And it's not a foreign concept.
00:34:00.880 We published it
00:34:01.760 with the National Cancer Institute.
00:34:04.320 So by March 2020,
00:34:05.620 I took all our resources.
00:34:07.620 Thank God we had the resources.
00:34:09.440 So that's the sort of gift.
00:34:10.900 Was this your money?
00:34:12.060 All my money.
00:34:13.480 Okay.
00:34:13.720 So I should just say,
00:34:14.940 I alluded to it earlier,
00:34:16.260 but you had a couple of companies
00:34:17.680 making cancer drugs.
00:34:19.080 You owned all of them.
00:34:20.260 I mean, you owned,
00:34:20.720 I think, 100% of the companies.
00:34:21.760 You sold them
00:34:22.400 for $10 billion or something.
00:34:24.840 So, but rather than buy a vineyard,
00:34:26.360 you continued in your work.
00:34:27.940 Is that a fair?
00:34:29.460 Very fair.
00:34:30.200 You know, as I said to you
00:34:31.760 over breakfast,
00:34:32.380 I had no idea about stocks.
00:34:35.420 So when the two companies were bought
00:34:37.700 and they were bought
00:34:38.300 for the right reasons.
00:34:39.140 So one company was
00:34:40.300 American Pharmaceutical Partners
00:34:41.740 and we were making
00:34:43.380 literally close to a million vials a day
00:34:45.400 in the United States
00:34:46.380 manufacturing of 150 different SKUs
00:34:50.080 for every part of the hospital
00:34:51.300 and we're safe for heparin.
00:34:53.000 So Fresenia said,
00:34:53.960 we want to buy you.
00:34:54.640 And we said, great.
00:34:55.360 And then I developed this molecule
00:34:58.160 that was feeding the tumor
00:35:00.140 that could actually activate
00:35:01.360 the immune system
00:35:02.200 to activate the macrophages
00:35:03.880 called Abraxane.
00:35:05.260 And Seljean said,
00:35:05.980 we want to buy you.
00:35:06.600 I said, great.
00:35:07.760 And the purpose for my selling them
00:35:09.460 was not for the money.
00:35:11.680 Clearly it was for the money,
00:35:13.020 but the purpose of the use of the money
00:35:14.720 to pursue this dream
00:35:16.440 of this astrophysics
00:35:18.200 to find God's particle
00:35:19.500 in your human body
00:35:20.540 to activate your immune system.
00:35:22.740 That was the purpose of this money.
00:35:24.380 And that's all I've done
00:35:26.020 with the money.
00:35:26.960 I spent about $3 billion
00:35:28.240 of this money.
00:35:29.440 I've not gotten one penny
00:35:31.540 from the government.
00:35:33.980 Not even one dime.
00:35:36.380 You're the only one.
00:35:37.980 Yeah.
00:35:38.880 And maybe that's the freedom
00:35:40.200 and the liberation
00:35:40.960 allow me to say
00:35:41.740 what I can say now.
00:35:43.080 Yes, that's right.
00:35:43.520 So, again,
00:35:45.980 I keep pulling this away
00:35:47.240 because there's a lot here
00:35:48.320 that's interesting,
00:35:49.240 but how did you not get COVID?
00:35:52.360 Okay.
00:35:54.960 So, I recognized that,
00:35:57.900 so Peter Marks and I
00:35:59.220 had these conversations.
00:36:00.160 So, he was head of CBER.
00:36:04.180 And I was then pinging him
00:36:06.280 with the science
00:36:07.320 because this is a biologic.
00:36:10.620 And I was saying to Peter,
00:36:12.500 listen, Peter,
00:36:13.580 I need to show you
00:36:15.000 that we need to create
00:36:16.000 a T-cell vaccine.
00:36:17.540 And he said,
00:36:18.020 well, we don't do T-cell vaccines.
00:36:20.160 Everybody's doing the other vaccines,
00:36:22.120 but great, let's continue.
00:36:23.400 The antibody vaccines.
00:36:24.500 Antibody vaccines.
00:36:26.400 And then he called me
00:36:27.380 and he said,
00:36:28.000 we're going to create warp speed.
00:36:31.020 And he's a star trekking
00:36:32.160 and I'm a star trekking.
00:36:33.160 I love warp speed.
00:36:34.040 I said, okay,
00:36:34.480 we're going to do this
00:36:35.100 in warp speed.
00:36:36.020 Absolutely.
00:36:37.340 But the only way, Peter,
00:36:38.620 you're going to do this
00:36:39.160 in warp speed,
00:36:40.860 you need,
00:36:41.660 we need as a country
00:36:43.680 to have NIH and Bada
00:36:46.140 fund a trial
00:36:48.160 where we take macaque monkeys,
00:36:51.500 we give them the vaccine
00:36:53.220 and everybody should throw
00:36:54.540 their vaccine in
00:36:55.460 because I don't care
00:36:56.280 whether it's not mine
00:36:57.000 or theirs,
00:36:57.580 whoever's vaccine
00:36:58.560 to clear the virus.
00:37:01.220 The only way
00:37:01.820 to do this experiment,
00:37:02.880 you give the monkeys
00:37:04.000 the vaccine,
00:37:05.080 it's under your control,
00:37:07.100 you have a hundred monkeys,
00:37:09.100 everybody gets a set of vaccines
00:37:11.400 and then you infect
00:37:13.340 the monkeys
00:37:15.260 in the BSL-3 facility
00:37:16.680 with a high dose of COVID
00:37:17.900 and then you see
00:37:20.320 in their lungs
00:37:21.700 and the tissue
00:37:22.700 that there's no virus
00:37:24.200 after seven days.
00:37:26.500 Absolutely.
00:37:27.680 That was warp speed.
00:37:29.600 So I was one of eight
00:37:31.260 of warp speed.
00:37:34.120 Then I get a call,
00:37:35.620 Patrick, you dewarped.
00:37:38.980 You are there,
00:37:40.280 I said,
00:37:41.100 test my vaccine anyway.
00:37:43.720 They did a vaccine test
00:37:45.120 at the NIH and Bada.
00:37:46.620 It cleared the virus
00:37:48.000 as I predicted.
00:37:49.760 There was no virus
00:37:50.580 in the lungs
00:37:51.080 after a big infection.
00:37:53.340 So I said,
00:37:54.080 okay,
00:37:55.460 I'm dewarped
00:37:56.700 and this was
00:37:59.300 a Francis Collins scheme
00:38:01.560 and Anthony Fauci scheme
00:38:04.200 and Muncie Slaoui scheme
00:38:05.800 and one day
00:38:08.420 we'll talk about
00:38:08.980 the conversation
00:38:09.600 I had with Muncie Slaoui
00:38:10.660 and what I've learned
00:38:11.980 about Francis Collins
00:38:13.000 in that event
00:38:15.760 and they were going
00:38:17.540 to go after
00:38:17.880 this antibody vaccine
00:38:19.020 which is this
00:38:19.540 mRNA vaccine
00:38:20.600 with spike.
00:38:22.300 And I said,
00:38:22.940 this is too important.
00:38:23.980 I told my people,
00:38:24.920 we're going to build
00:38:25.400 our own vaccine
00:38:26.040 with our own money.
00:38:27.640 I couldn't get enough
00:38:28.680 material
00:38:29.260 other than to do
00:38:30.440 one batch
00:38:31.240 and we're going to do
00:38:32.540 a phase one trial
00:38:33.280 and we're going to inject
00:38:35.560 as many people
00:38:36.820 that we can do
00:38:37.480 in the phase one trial.
00:38:39.040 I'm one of them.
00:38:40.880 I injected myself.
00:38:42.100 And your wife.
00:38:44.760 And we're going to measure
00:38:46.160 I won't talk about
00:38:48.340 I don't want to talk
00:38:48.980 about the family.
00:38:49.720 Of course.
00:38:50.420 And we're going to measure
00:38:51.580 my own blood.
00:38:53.360 I drew my own blood
00:38:54.560 and tested
00:38:56.580 and I have T cells
00:38:58.320 to nucleocapsid
00:39:00.400 and to spike
00:39:02.140 which means
00:39:04.320 if I were to get COVID
00:39:05.520 touch wood
00:39:06.760 the T cells
00:39:08.780 now are memory T cells
00:39:10.040 would clear the virus.
00:39:12.100 So we then
00:39:13.940 tried
00:39:15.600 begged
00:39:16.400 begged
00:39:17.400 because
00:39:18.660 not for funding even
00:39:20.000 but for
00:39:21.820 the plastic bags
00:39:23.340 that were now
00:39:24.160 restricted
00:39:25.280 as you grow these things
00:39:26.820 to Pfizer
00:39:27.820 and Moderna
00:39:28.460 all the materials
00:39:30.340 that you need
00:39:30.900 in a biologic facility.
00:39:33.420 Got zero.
00:39:36.060 I've only got one batch
00:39:37.160 so I'm going to South Africa
00:39:38.840 and inject these
00:39:40.720 in patients with HIV.
00:39:42.100 Because that's
00:39:42.580 the biggest test
00:39:43.420 you could have.
00:39:44.740 You couldn't generate
00:39:45.560 T cells in the patients
00:39:46.480 with HIV
00:39:47.080 and do this
00:39:48.920 phase two
00:39:49.500 and phase three
00:39:50.120 trial in South Africa.
00:39:52.560 So we did that
00:39:53.660 and then
00:39:55.320 I called Peter
00:39:56.220 and I said
00:39:56.680 Peter
00:39:56.940 I'm sorry
00:39:57.980 what were the results like?
00:39:59.600 T cells.
00:40:02.940 The people that
00:40:04.240 interestingly enough
00:40:05.860 it doesn't say
00:40:09.460 just so you know
00:40:10.740 you have to
00:40:13.000 differentiate
00:40:13.620 does it actually
00:40:17.260 prevent the
00:40:17.860 penetration
00:40:18.320 of the virus
00:40:19.320 versus
00:40:20.060 the load
00:40:21.560 of the virus
00:40:22.180 versus the clearance
00:40:22.980 of the virus.
00:40:23.540 These are three
00:40:23.920 different things.
00:40:24.640 so
00:40:26.780 we think
00:40:29.480 it prevents
00:40:30.080 the penetration
00:40:30.940 but we don't
00:40:31.820 know
00:40:32.260 because
00:40:32.820 as soon as
00:40:33.480 it does
00:40:33.700 penetrate
00:40:34.080 it would
00:40:34.440 clear
00:40:34.700 so you
00:40:35.080 wouldn't
00:40:35.300 even know
00:40:36.120 or the
00:40:37.360 T cell
00:40:37.680 vaccine.
00:40:39.200 This is
00:40:39.820 anecdotal
00:40:40.360 but some
00:40:41.620 of the people
00:40:42.040 who got
00:40:42.380 our T cell
00:40:42.900 vaccine
00:40:43.400 their family
00:40:44.420 members
00:40:44.980 got COVID
00:40:45.580 they didn't
00:40:46.040 get it
00:40:46.360 obviously
00:40:46.720 the vaccine
00:40:47.460 and they
00:40:48.260 didn't get
00:40:48.620 COVID
00:40:48.980 while living
00:40:50.740 with the
00:40:51.040 family.
00:40:53.780 The issue
00:40:54.620 of clearing
00:40:55.220 the virus
00:40:55.720 in transmission
00:40:56.440 was the
00:40:57.220 key.
00:40:59.040 So
00:40:59.600 an antibody
00:41:00.460 vaccine
00:41:01.540 may reduce
00:41:03.560 the viral
00:41:03.920 load
00:41:04.340 and therefore
00:41:04.820 reduce death
00:41:05.500 which is a
00:41:06.080 good thing
00:41:06.680 that President
00:41:07.160 Trump did
00:41:07.780 but the
00:41:08.680 next generation
00:41:09.480 of clearing
00:41:10.480 the virus
00:41:10.980 was what
00:41:11.360 was needed
00:41:11.940 and both
00:41:13.680 should have
00:41:14.060 been developed
00:41:14.560 simultaneously.
00:41:17.160 It
00:41:17.760 wasn't.
00:41:18.980 I'll share
00:41:19.580 with you
00:41:20.020 to this
00:41:21.120 day
00:41:21.340 it's a
00:41:22.340 mystery
00:41:22.560 to me
00:41:22.880 why
00:41:23.280 but
00:41:24.900 the
00:41:26.460 opportunity
00:41:27.760 to clear
00:41:28.820 the virus
00:41:29.420 was actually
00:41:30.480 known
00:41:31.220 I think
00:41:31.840 by Collins
00:41:33.120 and by
00:41:33.780 Fauci
00:41:34.140 that it
00:41:34.520 did not
00:41:34.980 clear the
00:41:35.780 virus.
00:41:36.340 The spike
00:41:36.860 vaccines.
00:41:38.420 The spike
00:41:38.800 vaccine.
00:41:39.300 The Pfizer
00:41:39.640 Moderna.
00:41:39.900 The antibody
00:41:40.380 vaccine
00:41:40.940 does not
00:41:41.420 end to this
00:41:42.000 day.
00:41:42.400 Does not
00:41:42.840 clear the
00:41:43.380 virus.
00:41:45.740 That seems
00:41:46.620 like a big
00:41:47.260 deal.
00:41:47.980 Well
00:41:48.200 just what
00:41:48.900 we talked
00:41:49.240 about.
00:41:49.680 If you
00:41:49.980 don't
00:41:50.280 clear the
00:41:50.780 virus and
00:41:53.540 you have
00:41:53.800 pieces of
00:41:54.500 the virus
00:41:55.000 in there
00:41:55.620 especially
00:41:56.020 spike whether
00:41:57.840 from the
00:41:58.300 infection or
00:41:58.940 from the
00:41:59.300 vaccine and
00:42:00.900 now you
00:42:01.220 get another
00:42:01.960 infection.
00:42:03.800 Now the
00:42:04.940 virus brings
00:42:05.580 along this
00:42:06.280 nucleic
00:42:06.700 capsid.
00:42:07.780 Now it
00:42:08.640 reconjoins and
00:42:10.440 replicates
00:42:11.380 again in
00:42:13.180 these what
00:42:14.080 they call
00:42:14.360 privileged
00:42:14.940 sites.
00:42:16.120 Two years
00:42:16.600 later and
00:42:18.200 what we
00:42:18.780 see now
00:42:19.780 we're back
00:42:20.140 to
00:42:20.280 persistence
00:42:20.820 that's
00:42:22.180 now
00:42:22.360 published
00:42:22.920 just
00:42:23.560 months
00:42:23.880 ago and
00:42:25.760 this is
00:42:26.060 what I
00:42:26.360 shared
00:42:26.740 with NIH
00:42:27.320 secretly
00:42:28.080 four months
00:42:28.960 ago and
00:42:30.860 persistence
00:42:31.660 asymptomatic
00:42:34.220 persistence
00:42:34.880 but with
00:42:35.480 inflammation
00:42:36.140 and reduction
00:42:39.480 of p53
00:42:40.440 and immunosuppression
00:42:42.440 are all
00:42:44.680 the hallmarks
00:42:45.520 and recipes
00:42:46.280 for cancer.
00:42:48.740 And coming
00:42:49.600 back to your
00:42:50.100 first question
00:42:50.880 is why are
00:42:52.140 we seeing an
00:42:52.700 increase in
00:42:53.240 young people?
00:42:54.480 I think all
00:42:55.580 of the above.
00:42:56.520 The toxins,
00:42:57.680 the history,
00:42:59.400 the red
00:43:00.360 dye, the
00:43:00.940 PFAS, the
00:43:02.460 COVID, all
00:43:04.780 of the above.
00:43:06.120 Does both
00:43:06.680 COVID and the
00:43:07.820 COVID vaccine
00:43:08.900 lower over
00:43:10.540 time?
00:43:11.100 the human
00:43:13.360 immune system?
00:43:14.680 The vaccine
00:43:15.920 itself
00:43:16.740 upregulates
00:43:19.580 temporarily the
00:43:20.420 antibodies.
00:43:22.380 But if the
00:43:23.500 vaccine,
00:43:24.860 the spike
00:43:25.980 protein breaks
00:43:26.800 off
00:43:27.140 and the
00:43:29.900 RNA or
00:43:30.940 DNA goes
00:43:31.760 into the
00:43:32.360 cells
00:43:32.800 and
00:43:35.180 whether from
00:43:36.400 infection or the
00:43:37.200 vaccine, that's
00:43:38.000 where the
00:43:38.240 controversy is,
00:43:39.300 right?
00:43:39.480 it could be
00:43:39.940 both.
00:43:41.840 And the
00:43:42.600 vaccine doesn't
00:43:43.540 clear the
00:43:44.380 virus.
00:43:45.040 That's the
00:43:45.600 key.
00:43:46.860 It doesn't
00:43:47.920 clear the
00:43:48.440 virus.
00:43:49.460 And that's
00:43:49.860 why we
00:43:51.420 were told, of
00:43:52.100 course, you
00:43:52.800 take the
00:43:53.240 virus and
00:43:54.200 then you
00:43:54.480 can't get
00:43:55.060 COVID or
00:43:55.680 transmit it,
00:43:56.760 but not
00:43:57.200 either one
00:43:57.600 turned out to
00:43:58.220 be true.
00:43:59.520 Demonstrably
00:44:00.080 untrue.
00:44:00.660 Well, it's not
00:44:01.300 only demonstrably
00:44:02.080 untrue, it was
00:44:02.600 knowingly
00:44:03.120 untrue.
00:44:04.640 That's what's
00:44:05.420 bad about it.
00:44:06.300 would seem
00:44:08.500 like that's
00:44:08.960 criminal,
00:44:09.760 actually.
00:44:10.940 I mean, if I
00:44:11.400 tell you that,
00:44:12.720 you know, this
00:44:14.140 car gets 40
00:44:15.280 miles to the
00:44:15.760 gallon and
00:44:16.180 instead it
00:44:16.600 blows up,
00:44:17.500 that's a
00:44:18.660 crime.
00:44:19.200 You can't
00:44:20.040 sell anything
00:44:21.000 under false
00:44:21.560 pretenses.
00:44:22.200 That's a
00:44:22.460 crime.
00:44:23.040 I don't see
00:44:23.380 how this is
00:44:23.720 not a
00:44:23.960 crime.
00:44:25.160 Well, as
00:44:25.800 you said
00:44:26.400 over breakfast,
00:44:27.340 it's not a
00:44:28.840 conspiracy, if
00:44:29.600 it's true.
00:44:32.260 I believe
00:44:32.900 you're writing
00:44:33.200 a book with
00:44:33.580 that title.
00:44:33.960 You probably
00:44:35.000 have no idea
00:44:35.820 where your
00:44:36.220 meat comes
00:44:36.820 from.
00:44:37.120 You probably
00:44:37.560 should know.
00:44:38.460 The likelihood
00:44:38.860 is that the
00:44:39.480 meat you're
00:44:39.780 eating passed
00:44:40.440 through a
00:44:40.760 massive industrial
00:44:41.660 processing plant
00:44:42.720 probably owned
00:44:44.080 by a foreign
00:44:44.760 corporation.
00:44:46.260 Foreign meat.
00:44:47.160 Did you sign
00:44:47.600 up for that?
00:44:48.180 We don't
00:44:48.500 think you
00:44:48.820 did.
00:44:49.840 So you
00:44:50.540 probably have
00:44:51.840 no idea of
00:44:52.660 knowing where
00:44:52.960 the animal
00:44:53.280 grew up,
00:44:53.840 what that
00:44:54.040 animal ate,
00:44:55.040 or what
00:44:55.400 chemicals big
00:44:56.420 food pumped
00:44:57.220 into that
00:44:57.760 animal to
00:44:58.200 increase profits.
00:44:59.660 That's all
00:45:00.040 kept secret,
00:45:00.720 meaning you can
00:45:01.260 never really
00:45:01.960 know what
00:45:02.600 you're putting
00:45:02.980 in your mouth
00:45:03.580 and in
00:45:04.400 your body.
00:45:05.540 That's
00:45:05.980 disgusting if
00:45:06.700 you think
00:45:07.020 about it,
00:45:07.500 and it's
00:45:07.840 easy to
00:45:08.300 fix.
00:45:09.180 Meriwether
00:45:09.520 Farms,
00:45:10.200 a farm owned
00:45:10.860 by friends
00:45:11.280 of ours,
00:45:11.740 is a great
00:45:12.560 option.
00:45:13.320 We use
00:45:13.720 their meat,
00:45:14.120 we eat
00:45:14.520 their meat
00:45:15.020 for every
00:45:16.100 meal.
00:45:17.020 Unlike
00:45:17.380 corporate
00:45:18.080 farmers,
00:45:18.640 Meriwether
00:45:18.900 Farms controls
00:45:19.740 the entire
00:45:20.400 thing,
00:45:21.040 from the
00:45:21.620 pasture the
00:45:22.380 cattle graze
00:45:22.980 on to the
00:45:23.460 facility where
00:45:23.860 the beef is
00:45:24.500 packaged.
00:45:25.520 In
00:45:25.720 Wyoming and
00:45:26.260 across the
00:45:26.800 mountain west,
00:45:27.400 the cattle are
00:45:27.860 raised without
00:45:28.320 hormones,
00:45:29.260 without antibiotics,
00:45:30.200 or any other
00:45:30.680 additive.
00:45:31.760 Clean American
00:45:33.080 beef you can
00:45:34.100 trust every
00:45:34.840 single time and
00:45:35.460 they will ship
00:45:35.820 it straight to
00:45:36.420 your door.
00:45:37.400 Go to
00:45:37.660 meriwetherfarms.com
00:45:39.140 slash Tucker,
00:45:39.720 use the code
00:45:40.200 Tucker2025 for
00:45:41.920 10% off your
00:45:42.760 first order.
00:45:43.620 You can also
00:45:44.080 save it a
00:45:44.520 monthly subscription
00:45:45.140 if you sign up
00:45:45.700 today.
00:45:46.480 That's
00:45:46.680 meriwetherfarms.com
00:45:48.800 slash Tucker.
00:45:49.560 We eat it and
00:45:50.860 vouch for it.
00:45:51.680 So the people
00:45:52.280 who built this
00:45:52.700 country built it
00:45:53.200 because they
00:45:53.520 wanted freedom.
00:45:54.220 One word,
00:45:54.660 freedom.
00:45:55.120 They wanted
00:45:55.380 freedom from
00:45:55.840 oppressors who
00:45:56.560 forced them to
00:45:57.160 buy overpriced
00:45:58.160 tea, then
00:45:59.320 blockaded them
00:46:00.080 when they tried
00:46:00.440 to dump it
00:46:00.940 into the ocean.
00:46:01.660 How'd that
00:46:01.900 work out?
00:46:02.360 Well, we
00:46:02.620 built America
00:46:03.220 in response.
00:46:05.000 So it's time
00:46:05.520 to throw your
00:46:05.900 big overpriced
00:46:07.020 wireless contract
00:46:08.080 overboard to
00:46:08.920 a new tea
00:46:09.540 party.
00:46:09.900 You don't have
00:46:10.320 to pay $100
00:46:11.380 a month just
00:46:12.360 to use a
00:46:12.800 phone.
00:46:13.520 Most people
00:46:13.880 don't use that
00:46:15.200 much in services,
00:46:15.900 but they pay it
00:46:16.400 anyway.
00:46:17.700 Our cell phone
00:46:18.440 company Pure Talk
00:46:19.260 says no to
00:46:19.980 those prices.
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00:46:22.420 you can choose
00:46:22.880 an iPhone 14
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00:46:37.720 your iPhone 14
00:46:38.780 or Samsung
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00:46:42.540 Go to
00:46:42.820 puretalk.com
00:46:43.820 slash Tucker.
00:46:44.720 Visit
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00:46:46.720 slash Tucker
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00:46:48.440 America's
00:46:49.140 wireless company.
00:46:50.180 I've got to
00:46:50.900 say,
00:46:51.260 almost everyone
00:46:52.020 on our team
00:46:52.780 looks suspiciously
00:46:53.840 well-rested
00:46:54.600 every morning.
00:46:55.420 It turns out
00:46:56.100 most of them
00:46:56.600 are using a
00:46:57.120 product called
00:46:57.680 Sambrosa.
00:46:58.600 Sambrosa blends
00:46:59.480 antihistamine with
00:47:00.380 a syrup of herbs
00:47:01.340 and honey and
00:47:02.380 is designed to
00:47:02.940 help you sleep
00:47:03.680 well,
00:47:04.080 waking up,
00:47:04.660 feeling refreshed
00:47:05.300 and revitalized.
00:47:06.900 And based on
00:47:07.780 the sunny,
00:47:08.600 cheerful faces of
00:47:09.420 the people I
00:47:09.860 work with,
00:47:10.800 it works.
00:47:11.940 It's inexpensive,
00:47:12.680 it's less than
00:47:13.040 50 cents a night,
00:47:14.220 and we know the
00:47:15.040 people who own
00:47:15.540 the company,
00:47:16.080 and they are
00:47:16.460 great people.
00:47:17.780 They are faithful
00:47:18.680 people,
00:47:19.240 and they are
00:47:20.060 about the
00:47:20.460 happiest family
00:47:21.240 we've ever
00:47:21.680 run across.
00:47:23.040 The product,
00:47:23.500 Sambrosa,
00:47:23.920 has a ton of
00:47:24.400 five-star reviews.
00:47:25.260 You can check it
00:47:25.720 out on their
00:47:26.080 website,
00:47:26.700 Sambrosa.com.
00:47:29.460 So,
00:47:30.160 and you know
00:47:31.300 that they knew?
00:47:31.820 You've established
00:47:32.420 for a fact that
00:47:33.500 the developers of
00:47:34.300 this and our
00:47:35.160 public health
00:47:35.600 authorities knew
00:47:36.420 that the
00:47:38.400 COVID vax
00:47:39.480 would neither
00:47:40.140 prevent infection
00:47:42.240 nor transmission.
00:47:43.080 Yes.
00:47:45.800 And worse,
00:47:46.780 I think,
00:47:47.800 you know,
00:47:48.300 it's not well
00:47:48.860 known that
00:47:51.000 during the
00:47:52.040 first
00:47:52.520 President Trump
00:47:56.920 election,
00:47:59.160 he offered me
00:48:00.140 a position,
00:48:01.700 and I turned
00:48:03.280 it down because
00:48:04.100 I said to him,
00:48:05.020 I really could
00:48:05.460 help him from
00:48:06.220 outside in
00:48:07.080 better than,
00:48:07.860 and I had too
00:48:08.360 much to do.
00:48:09.140 I really was
00:48:09.720 working on this,
00:48:10.880 thank God,
00:48:11.460 working on
00:48:12.380 this potential
00:48:13.660 cure for cancer
00:48:14.460 as well as
00:48:14.980 clearing the
00:48:15.400 virus with
00:48:15.860 COVID,
00:48:16.940 this,
00:48:17.580 what I call
00:48:18.180 the missing
00:48:18.520 link,
00:48:18.900 which we can
00:48:19.320 talk about,
00:48:20.300 this activator
00:48:21.140 of the
00:48:21.400 unnatural killer
00:48:22.020 cells,
00:48:22.460 this bio-shield,
00:48:24.040 and we have
00:48:25.480 this bio-shield
00:48:26.160 now,
00:48:27.140 so it was
00:48:28.540 the right
00:48:29.060 decision for
00:48:29.680 me not to
00:48:30.260 go into the
00:48:30.660 government
00:48:30.960 during that
00:48:31.760 time and
00:48:32.720 to stay
00:48:33.160 out.
00:48:34.100 This was
00:48:34.520 16,
00:48:35.480 17?
00:48:36.100 Correct.
00:48:37.860 But worse,
00:48:39.040 I've since
00:48:39.560 discovered
00:48:40.300 not by
00:48:42.100 my inquiry,
00:48:43.020 but it's
00:48:43.380 been revealed
00:48:43.840 to me,
00:48:44.380 emails about
00:48:45.900 Francis Collins
00:48:46.760 and some
00:48:48.520 politicians
00:48:49.080 work hard
00:48:50.140 to prevent
00:48:51.040 me from
00:48:51.740 even joining
00:48:52.380 becoming
00:48:52.960 head of
00:48:53.300 NIH.
00:48:55.120 And I
00:48:55.800 think that
00:48:56.140 was the
00:48:56.460 motivation all
00:48:57.240 the way
00:48:57.460 downstream
00:48:57.960 that we
00:48:59.260 asked,
00:48:59.660 okay,
00:48:59.840 so what
00:49:00.140 happened to
00:49:00.700 this vaccine?
00:49:02.280 So I
00:49:03.020 called the
00:49:03.680 FDA and
00:49:05.580 said,
00:49:05.920 okay,
00:49:06.520 I can't
00:49:07.100 do a
00:49:07.600 randomized
00:49:07.940 placebo
00:49:08.540 control trial
00:49:09.280 now because
00:49:09.880 you've
00:49:10.440 got
00:49:10.680 Pfizer's
00:49:12.300 Moderna
00:49:12.880 vaccines all
00:49:13.700 over the
00:49:14.080 place,
00:49:14.720 so let
00:49:15.380 me be
00:49:15.680 the
00:49:15.880 booster.
00:49:18.840 And
00:49:19.320 Peter
00:49:19.580 Marks,
00:49:19.960 to his
00:49:20.160 credit,
00:49:20.580 was the
00:49:20.860 one who
00:49:21.220 said,
00:49:21.620 absolutely.
00:49:23.500 Peter
00:49:23.840 Marks,
00:49:24.200 to his
00:49:24.440 credit,
00:49:24.800 was the
00:49:25.060 one who
00:49:25.380 says,
00:49:25.740 I'm
00:49:25.960 worried
00:49:26.240 about
00:49:26.540 this
00:49:26.760 COVID
00:49:27.300 vaccine
00:49:27.880 and
00:49:28.140 this
00:49:28.340 long
00:49:28.580 COVID.
00:49:29.900 I
00:49:30.300 want to
00:49:30.660 study
00:49:30.940 the
00:49:31.240 effects
00:49:31.520 of
00:49:31.680 this
00:49:31.860 vaccine.
00:49:33.000 Peter
00:49:33.340 Marks
00:49:33.660 said to
00:49:34.220 me,
00:49:34.360 Patrick,
00:49:34.620 fine,
00:49:35.040 go ahead.
00:49:35.600 I
00:49:36.660 injected
00:49:36.980 the
00:49:37.180 first
00:49:37.340 three
00:49:37.540 patients
00:49:38.000 as a
00:49:39.000 booster.
00:49:39.700 I
00:49:40.080 get
00:49:40.320 the
00:49:40.540 call
00:49:40.920 from
00:49:41.280 the
00:49:41.460 FDA
00:49:41.840 to
00:49:42.180 say,
00:49:42.860 you
00:49:43.660 have
00:49:43.800 to
00:49:43.940 stop.
00:49:44.880 I
00:49:45.280 said,
00:49:45.480 why?
00:49:48.240 To
00:49:48.640 this day,
00:49:49.040 they never
00:49:49.320 explained to
00:49:49.860 me,
00:49:50.020 it wasn't
00:49:50.420 Peter.
00:49:51.380 It was
00:49:51.920 people
00:49:52.360 around
00:49:53.100 Peter
00:49:53.540 said,
00:49:55.240 you must
00:49:55.460 stop.
00:49:57.480 So we
00:49:58.020 stopped.
00:49:59.060 And there
00:49:59.460 was nothing
00:49:59.760 more we
00:50:00.120 could do
00:50:00.360 anyway,
00:50:00.780 because we
00:50:01.020 didn't have
00:50:01.380 any of the
00:50:01.800 resources,
00:50:02.500 the money,
00:50:03.000 the supplies,
00:50:04.340 to complete
00:50:05.260 a phase
00:50:05.600 three.
00:50:06.040 So the
00:50:06.280 government
00:50:06.520 has a
00:50:06.860 monopoly
00:50:07.220 on some
00:50:07.700 of the
00:50:07.860 materials
00:50:08.320 that you
00:50:08.640 need to
00:50:09.080 do this
00:50:09.380 kind of
00:50:09.660 testing in
00:50:10.080 a bio lab.
00:50:10.700 Is that
00:50:10.860 correct?
00:50:11.460 Correct.
00:50:11.740 But now
00:50:12.060 we're into
00:50:12.380 Biden era.
00:50:13.800 So now
00:50:14.360 we're in
00:50:14.620 the Biden
00:50:14.980 era that
00:50:16.400 said,
00:50:16.720 I must
00:50:16.980 stop.
00:50:17.500 This is
00:50:17.880 2020
00:50:18.280 now.
00:50:20.540 It was
00:50:23.220 during the
00:50:24.880 Biden era.
00:50:28.360 And I
00:50:28.700 think there
00:50:30.020 was this,
00:50:31.900 sadly,
00:50:32.520 I'm not a
00:50:33.600 conspiracy
00:50:33.960 theorist,
00:50:34.760 but now
00:50:35.160 I've come
00:50:35.400 to realize
00:50:35.820 it truly
00:50:36.220 was a
00:50:36.600 deep
00:50:36.780 state
00:50:37.140 inside
00:50:38.200 there
00:50:38.600 that
00:50:39.520 had a
00:50:39.780 motivation
00:50:40.300 beyond,
00:50:42.980 it's sad
00:50:43.600 to say,
00:50:44.060 it's the
00:50:44.260 most devastating
00:50:45.320 to say,
00:50:45.860 beyond public
00:50:46.400 health.
00:50:49.240 And I
00:50:49.600 just tweeted
00:50:50.160 recently of
00:50:51.060 how so few
00:50:53.360 people could
00:50:53.840 hurt so
00:50:54.220 many.
00:50:56.120 And that's
00:50:56.620 why when
00:50:59.360 I tweeted
00:50:59.840 about finally
00:51:01.360 we have the
00:51:01.800 right person
00:51:02.320 in HHS
00:51:03.080 with Bobby
00:51:03.540 Kennedy will
00:51:04.180 take this
00:51:04.640 on.
00:51:06.120 And that
00:51:07.320 we have
00:51:07.700 doctors that
00:51:08.400 will be like
00:51:09.420 Marty McCary,
00:51:10.320 I don't know,
00:51:11.840 but I do know
00:51:12.600 he's a surgeon
00:51:13.700 who can
00:51:14.800 understand and
00:51:15.520 touch and feel
00:51:16.200 what it means
00:51:17.480 to be there
00:51:19.020 on behalf of
00:51:19.780 the patient.
00:51:22.360 And my
00:51:23.460 support for
00:51:24.100 that,
00:51:25.160 I think we
00:51:27.240 have a chance
00:51:27.780 now to
00:51:28.280 completely turn
00:51:29.100 this around
00:51:29.660 this last
00:51:31.520 election was
00:51:32.260 in part
00:51:33.000 about that.
00:51:33.760 I think the
00:51:34.400 national
00:51:35.720 realization
00:51:36.320 that COVID
00:51:36.960 was there
00:51:37.380 was something
00:51:37.700 very dark
00:51:38.220 there.
00:51:38.580 It wasn't
00:51:38.840 just a virus
00:51:39.420 that happened
00:51:40.720 upon us.
00:51:41.760 Naturally,
00:51:42.380 there was a
00:51:44.660 lot of evil
00:51:45.060 bound up in it.
00:51:46.820 But just to
00:51:47.400 back up a second,
00:51:48.100 you said you
00:51:48.940 have learned
00:51:49.440 from watching
00:51:50.000 COVID that a
00:51:51.340 few people can
00:51:51.900 hurt so many.
00:51:52.460 Who are those
00:51:52.820 people?
00:51:53.080 I think the
00:51:55.880 main culprit
00:51:56.520 really sitting
00:51:57.660 there was
00:51:58.680 Collins.
00:51:59.660 Francis Collins.
00:52:00.340 Francis Collins.
00:52:02.300 And he
00:52:02.800 controlled,
00:52:04.000 I mean,
00:52:06.120 I had shared
00:52:08.700 with President
00:52:09.120 Trump that
00:52:09.580 Francis Collins
00:52:10.100 should not be
00:52:10.600 the NIH
00:52:11.080 director.
00:52:12.840 He offered
00:52:13.580 me a job.
00:52:16.500 Peter Thiel
00:52:16.980 nominated me.
00:52:19.640 And I've
00:52:20.400 since found
00:52:21.020 emails of
00:52:22.900 Francis Collins
00:52:23.720 sending an
00:52:25.920 email to a
00:52:26.560 politician that
00:52:27.320 alarm bells,
00:52:28.280 alarm bells,
00:52:29.020 Peter Thiel
00:52:29.560 nominated Patrick
00:52:30.500 Soon-Shiong,
00:52:31.020 we have to
00:52:31.400 find a way
00:52:31.760 to stop it.
00:52:34.100 Why?
00:52:35.600 To this
00:52:36.000 day,
00:52:37.140 power,
00:52:38.360 greed,
00:52:40.660 political
00:52:42.720 need.
00:52:44.900 He did the
00:52:45.500 same thing
00:52:45.840 with Craig
00:52:46.220 Venter.
00:52:46.760 I remember
00:52:47.160 during Clinton's
00:52:48.080 time with the
00:52:48.640 Human Genome
00:52:49.200 Project where
00:52:49.920 Craig Venter
00:52:50.780 invented the
00:52:51.660 sequencing machine
00:52:52.680 for tens of
00:52:53.780 millions of
00:52:54.220 dollars and
00:52:54.660 he was
00:52:54.820 spending
00:52:55.060 billions of
00:52:55.580 dollars doing
00:52:56.080 nothing but
00:52:56.560 wanted the
00:52:57.000 credit.
00:52:59.380 I think
00:53:00.460 what happens
00:53:01.720 to you when
00:53:02.100 you get into
00:53:02.660 Washington,
00:53:04.920 the ego,
00:53:06.800 greed,
00:53:07.100 and power
00:53:07.620 changes your
00:53:10.520 mindset.
00:53:11.240 so I can't
00:53:15.360 give motivation
00:53:16.280 to that.
00:53:16.640 All I can
00:53:17.120 tell you is
00:53:17.560 when I saw
00:53:18.040 that email,
00:53:18.700 I was
00:53:19.200 devastated that
00:53:21.140 somebody would
00:53:21.640 actually go to
00:53:22.260 that extent
00:53:22.960 and then send
00:53:24.680 that same
00:53:25.140 email to the
00:53:25.940 CEO of
00:53:26.400 Bio,
00:53:26.820 which is
00:53:27.180 all big
00:53:27.580 pharma.
00:53:29.380 And that
00:53:31.580 CEO of
00:53:32.080 Bio said,
00:53:32.720 let's go to
00:53:33.180 Google search
00:53:34.520 to find some
00:53:35.120 dirt on him.
00:53:37.020 Dirt on you?
00:53:37.980 On me?
00:53:38.220 To stop me
00:53:40.380 from being
00:53:41.880 nominated to
00:53:43.460 be head of
00:53:44.080 NIH or
00:53:44.720 whatever.
00:53:45.180 Let's Google
00:53:45.680 him to
00:53:46.320 stop him?
00:53:47.120 Let's Google
00:53:47.620 to find some
00:53:48.460 dirt,
00:53:49.880 some bad
00:53:50.920 stuff,
00:53:51.820 negative
00:53:52.100 research,
00:53:52.600 whatever they
00:53:53.060 want to
00:53:53.360 find.
00:53:53.920 They probably
00:53:54.500 couldn't find
00:53:55.140 any dirt on
00:53:55.700 me,
00:53:55.860 but that
00:53:56.740 was the
00:53:57.180 interchange
00:53:57.600 between
00:53:57.940 them.
00:53:59.880 On email.
00:54:01.520 But the
00:54:02.200 funny thing
00:54:02.580 is you
00:54:02.940 made a
00:54:03.380 product,
00:54:04.380 and by
00:54:04.600 the way,
00:54:04.940 a clarification
00:54:05.800 of terms,
00:54:06.700 my understanding
00:54:07.340 was a
00:54:07.700 vaccine,
00:54:08.220 was
00:54:08.400 administered
00:54:08.760 to a
00:54:09.100 healthy
00:54:09.300 person to
00:54:09.820 prevent him
00:54:11.000 from getting
00:54:11.380 the disease.
00:54:12.360 You're
00:54:12.800 describing a
00:54:13.680 product,
00:54:14.040 the one
00:54:14.220 that you
00:54:14.540 made,
00:54:15.260 that you
00:54:16.280 can inject
00:54:16.820 into an
00:54:17.220 infected
00:54:17.700 person,
00:54:18.440 and it
00:54:18.760 cures the
00:54:19.120 infection.
00:54:19.560 That sounds
00:54:19.860 more like a
00:54:20.260 conventional
00:54:20.600 medicine than
00:54:21.280 a vaccine.
00:54:21.700 It's a
00:54:21.860 therapeutic.
00:54:22.720 A
00:54:22.880 therapeutic.
00:54:23.760 Correct.
00:54:24.660 So,
00:54:25.060 you know,
00:54:25.260 I use the
00:54:25.660 word vaccine
00:54:26.160 because that's
00:54:26.600 what they
00:54:26.800 understood.
00:54:28.860 You know,
00:54:29.540 it's dogma
00:54:31.880 and terminology.
00:54:32.840 Right.
00:54:33.320 But you're
00:54:33.840 giving this to
00:54:35.180 people who
00:54:35.540 have COVID,
00:54:36.440 who have
00:54:37.060 HIV.
00:54:38.120 Well,
00:54:38.520 I want to
00:54:38.780 give it to
00:54:39.020 people who
00:54:39.300 don't have
00:54:39.640 COVID so
00:54:40.080 they can
00:54:40.340 actually get
00:54:41.200 COVID.
00:54:41.480 I am now
00:54:43.060 giving to
00:54:43.420 patients with
00:54:44.060 HIV.
00:54:44.580 I'm giving to
00:54:45.020 people with
00:54:45.520 HPV.
00:54:46.580 I'm giving
00:54:47.020 people who
00:54:49.420 are getting
00:54:49.820 cancer and
00:54:50.660 have cancer.
00:54:51.360 cancer and
00:54:52.020 more importantly
00:54:52.580 there's one
00:54:53.560 in 280
00:54:54.260 Americans.
00:54:55.100 One in
00:54:55.440 280
00:54:56.040 Americans have
00:54:57.680 this thing
00:54:58.040 called Lynch
00:54:58.480 syndrome.
00:54:59.760 What Lynch
00:55:00.400 syndrome is is
00:55:01.180 a genetic
00:55:01.820 predisposition of
00:55:03.740 an 80%
00:55:04.480 increase of
00:55:05.180 colon cancer,
00:55:06.400 ovarian cancer,
00:55:07.080 breast cancer.
00:55:08.040 It's a genetic
00:55:09.100 predisposition where
00:55:11.100 your cells don't
00:55:12.120 repair themselves.
00:55:13.800 I lost a
00:55:14.860 friend to
00:55:15.220 this.
00:55:15.520 Yes.
00:55:16.520 We are in
00:55:17.020 clinical trials
00:55:17.700 for the
00:55:18.200 BioShield for
00:55:18.880 patients with
00:55:19.580 Lynch syndrome.
00:55:20.180 We now have
00:55:20.540 100 patients
00:55:21.200 enrolled already
00:55:21.980 giving them
00:55:22.920 this BioShield
00:55:24.140 that will
00:55:25.160 prevent cancer.
00:55:26.060 So it's one
00:55:26.540 of the first
00:55:27.420 trials of
00:55:29.680 prevention of
00:55:30.460 cancer,
00:55:31.060 and treatment
00:55:31.900 of cancer.
00:55:32.800 Then this
00:55:34.000 drug, this
00:55:34.740 BioShield,
00:55:36.100 I don't want to
00:55:37.240 call it a
00:55:37.600 vaccine,
00:55:38.720 has just
00:55:39.080 gotten approved
00:55:39.540 in 2024 for
00:55:40.680 bladder cancer.
00:55:41.960 We now have
00:55:42.940 people who
00:55:45.000 failed everything
00:55:46.220 who would have
00:55:46.800 their bladder
00:55:47.320 removed.
00:55:48.120 Think about
00:55:48.580 that, your
00:55:48.900 bladder removed,
00:55:50.340 a 9% mortality
00:55:51.580 just from the
00:55:52.220 surgery alone,
00:55:53.660 where we're
00:55:54.120 giving them
00:55:54.680 this BioShield,
00:55:55.620 that's all they
00:55:56.080 got is a
00:55:56.540 subcutaneous
00:55:57.020 injection,
00:55:59.160 or, sorry,
00:56:00.320 into the
00:56:00.680 bladder,
00:56:02.640 and they are
00:56:03.980 now free of
00:56:04.760 disease, still
00:56:05.660 complete remission,
00:56:07.180 nine years
00:56:07.640 out, alive
00:56:09.980 today.
00:56:10.740 We can talk
00:56:11.200 to them,
00:56:12.420 published.
00:56:12.780 We have
00:56:15.000 patients with
00:56:15.560 metastatic
00:56:16.000 pancreatic
00:56:16.600 cancer, we
00:56:17.660 just published,
00:56:19.180 were free of
00:56:19.760 disease, five
00:56:20.960 years out.
00:56:22.380 Senator
00:56:22.700 Reid, who
00:56:24.100 came to see
00:56:24.600 me, after
00:56:25.160 having failed
00:56:25.780 all other
00:56:26.300 treatment with
00:56:27.440 his pancreatic
00:56:28.460 cancer, spread
00:56:29.560 to his liver,
00:56:30.900 came to see
00:56:31.460 me and he
00:56:31.760 said to me,
00:56:32.240 Patrick, I'm
00:56:32.760 here, but I
00:56:33.980 checked with
00:56:34.340 Francis Collins
00:56:34.960 who said,
00:56:35.340 don't go.
00:56:38.360 I said,
00:56:39.060 well,
00:56:40.680 Senator Reid,
00:56:41.960 your choice
00:56:42.720 is, I'm
00:56:43.060 coming, and
00:56:45.000 we gave him
00:56:45.380 the therapy, and
00:56:47.740 he C-19 went
00:56:48.620 down to
00:56:48.940 normal, and
00:56:50.160 he lived for
00:56:50.520 two years,
00:56:51.620 free of
00:56:51.880 disease, he
00:56:52.300 actually was
00:56:53.940 very active.
00:56:56.060 We had a
00:56:56.740 patient with
00:56:57.180 Merkel cell
00:56:57.680 carcinoma,
00:56:58.420 which is a
00:56:59.000 terrible disease
00:56:59.740 of, failed
00:57:01.140 everything, he
00:57:04.700 came into our
00:57:05.240 clinic, complete
00:57:05.980 response, nine
00:57:08.080 years out, he
00:57:08.700 died of other
00:57:10.040 causes.
00:57:10.380 The reason
00:57:13.120 I met
00:57:13.500 Robert,
00:57:16.040 Robert Jr.,
00:57:19.080 I've not
00:57:19.760 known him for
00:57:20.620 about four
00:57:21.020 months, is
00:57:22.220 I called
00:57:23.140 Bobby Shriver.
00:57:25.660 His cousin.
00:57:26.620 His cousin, and
00:57:27.520 the reason I knew
00:57:28.040 Bobby Shriver,
00:57:28.780 because Bobby
00:57:29.260 called me seven
00:57:29.940 years prior to
00:57:30.800 that, saying,
00:57:31.780 Patrick, I'm on
00:57:33.180 the City Council
00:57:33.720 of Santa Monica,
00:57:34.440 and the mayor
00:57:34.920 of Santa Monica
00:57:35.880 has this terrible
00:57:37.140 tumor in his
00:57:37.800 head and neck,
00:57:38.460 it's ulcerating
00:57:40.060 under his chin,
00:57:41.020 ulcerating through
00:57:41.520 his jaw, and
00:57:42.660 UCLA and Cedars
00:57:43.620 Sinai, he said,
00:57:44.660 he's got two
00:57:45.080 weeks to live, he's
00:57:45.700 got to go to
00:57:46.140 hospice, can you
00:57:47.080 see him?
00:57:48.760 I said, absolutely,
00:57:49.840 Bobby, I think he
00:57:50.680 needs our natural
00:57:51.260 killer cells, he
00:57:52.080 needs our bio
00:57:52.660 shield.
00:57:54.520 So I brought him
00:57:55.280 to our clinic, which
00:57:55.960 we have in Los
00:57:56.640 Angeles, in El
00:57:57.680 Segundo.
00:57:58.980 The nurses broke
00:57:59.860 into tears.
00:58:00.820 The nurses said,
00:58:01.380 Patrick, what are
00:58:01.880 you doing?
00:58:04.200 UCLA said he has
00:58:05.080 to go to hospice,
00:58:06.680 you should give
00:58:07.160 this man, I
00:58:07.700 said, no, you
00:58:08.680 don't understand,
00:58:09.440 we can dynamically
00:58:10.320 activate this, and
00:58:12.640 this is all as an
00:58:13.320 outpatient, we got
00:58:14.620 him into complete
00:58:15.440 remission, complete
00:58:17.700 remission.
00:58:18.580 Is he still
00:58:19.120 alive?
00:58:19.800 So it healed, and
00:58:22.240 this melted the
00:58:23.360 tumor, he went
00:58:25.660 home, because it
00:58:27.160 was exposed, a
00:58:28.200 little bleed happened
00:58:29.100 in the blood
00:58:29.580 vessel, his family
00:58:31.840 took him to St.
00:58:32.700 John's, and then
00:58:33.940 they called me
00:58:34.520 frantically and
00:58:35.240 says, the doctor
00:58:36.300 says, do not
00:58:36.960 resuscitate.
00:58:37.740 I said, what?
00:58:38.700 Let me speak to
00:58:39.660 that doctor.
00:58:40.660 He said, well, it's
00:58:41.200 bleeding, and it's
00:58:41.820 got this thing, I
00:58:43.320 think it was in
00:58:45.080 his late 70s, 80s.
00:58:47.500 I said, please
00:58:48.180 clip it, it's a
00:58:49.940 complete response,
00:58:50.820 and we're going to
00:58:51.180 do a flap to
00:58:52.480 cover that.
00:58:54.380 He did, we did
00:58:55.680 the flap, he
00:58:57.040 lived for two
00:58:57.540 years, was able
00:59:00.300 to eat.
00:59:02.840 So when I called
00:59:03.840 Bobby, and I
00:59:04.320 said, Bobby, you
00:59:05.280 remember what we
00:59:06.080 did, he said,
00:59:06.540 absolutely, Patrick.
00:59:07.940 A lot of people
00:59:08.460 have asked me to
00:59:09.140 introduce to
00:59:09.980 Robert, you know,
00:59:11.360 Robert and I don't
00:59:12.020 speak very much, we've
00:59:13.860 had an argument about
00:59:14.900 his ideas, and I
00:59:16.500 said, I understand, but
00:59:17.720 I'm going to give you
00:59:18.240 a number to Robert, to
00:59:22.840 Bobby Kennedy, and
00:59:25.220 he'll call you.
00:59:27.660 Bobby called me in 10
00:59:28.620 minutes, and I said,
00:59:30.920 Bobby, I'd like to
00:59:31.780 introduce myself.
00:59:32.600 He said, Patrick, can I
00:59:33.280 meet with you?
00:59:33.780 I said, please, and he
00:59:36.680 came to meet with me at
00:59:37.820 my home, and we had
00:59:39.520 this long conversation,
00:59:40.680 and I realized, I've
00:59:42.140 just, I watched your
00:59:43.100 show with him, he is
00:59:45.960 what he is, an
00:59:47.560 authentic man with a
00:59:50.860 sense of purpose,
00:59:52.000 conviction, courage, he
00:59:54.700 says what he really
00:59:55.400 believes, sometimes it
00:59:56.560 may be wrong, sometimes
00:59:57.440 it may be right, but he
00:59:58.600 says what he believes,
00:59:59.380 and I really believed,
01:00:03.720 oh my God, here's
01:00:04.460 somebody who would have
01:00:06.440 the courage to take on
01:00:08.180 the world and ask the
01:00:09.400 questions, and I said,
01:00:11.680 I'm going to support
01:00:12.220 you, and that's what
01:00:13.980 happened, that's how I
01:00:15.040 got to know him.
01:00:16.120 Amazing.
01:00:17.320 He was dismissed by,
01:00:19.640 no, not just dismissed,
01:00:20.900 attacked and vilified by a
01:00:23.800 lot of people in the
01:00:24.580 medical establishment, I
01:00:25.600 would say, everybody.
01:00:28.320 Why were you willing to
01:00:31.100 listen to him?
01:00:32.520 Because what he's saying
01:00:33.900 is exactly what I was
01:00:35.200 saying, and I'm sort of
01:00:39.280 attacked by these same
01:00:40.260 people because of the
01:00:41.200 dogma that's out there,
01:00:42.300 so let me give you this
01:00:43.080 example, I said, Bobby,
01:00:45.940 and I shared with him the
01:00:47.300 story about Hope Hicks,
01:00:49.660 I said, you probably just
01:00:52.040 walked out to the office
01:00:52.780 and I walked in, in
01:00:55.200 2016, in 2017, I
01:00:58.380 said, listen, you, people
01:01:00.300 think of you as saying
01:01:01.180 you shouldn't have a
01:01:02.520 polio vaccine, you, that
01:01:04.920 you're an anti-vaccinator.
01:01:08.260 What you really are saying,
01:01:09.560 you're worried about the
01:01:10.220 excipients inside the
01:01:11.360 vaccine, so.
01:01:13.180 About the what?
01:01:14.420 Okay, so that's a
01:01:15.520 technical, the materials
01:01:18.680 that go in with the
01:01:20.240 vaccine.
01:01:20.740 Yes, the mercury, et
01:01:21.780 cetera.
01:01:22.040 The mercury, et cetera.
01:01:23.240 So, I understand there's a
01:01:25.160 polio vaccine, there's one,
01:01:26.540 two, three, four polio
01:01:27.820 vaccines that have now been
01:01:28.720 manufactured, and now
01:01:30.860 that all of a sudden there's
01:01:31.660 a new polio vaccine that's
01:01:32.840 manufactured in which we
01:01:34.220 have cow's serum, calf
01:01:35.820 serum, inside that vaccine,
01:01:38.440 and I know and you know,
01:01:40.460 everybody knows, in the UK
01:01:42.300 knows, you can get prion
01:01:43.800 disease from this calf
01:01:45.640 serum because you can't
01:01:47.280 measure that.
01:01:48.220 So, that got approved in
01:01:52.460 four days with, just because
01:01:54.540 of safety, the way dogma is
01:01:56.140 happening, but there's other
01:01:57.520 polio vaccines, so you can
01:01:59.540 take the other polio vaccines,
01:02:00.940 but don't take that one, just
01:02:03.160 like I was telling you about,
01:02:04.540 maybe I was telling you about
01:02:05.380 propofol's story over
01:02:06.880 breakfast, and you should
01:02:10.600 explain it that way, that you
01:02:12.120 want it just to be examined.
01:02:13.540 And, and he said, exactly, I
01:02:17.240 said, okay, not only did I get
01:02:21.220 him, he is asking the right
01:02:23.420 questions, and people are
01:02:25.920 scared to ask these questions
01:02:27.380 because there's perverse
01:02:28.420 incentives, and that was what
01:02:30.900 bothered me.
01:02:31.620 But in science, shouldn't any
01:02:34.560 question be allowed?
01:02:36.040 Exactly.
01:02:37.840 So, when I tweeted, I said, he
01:02:40.480 knows more science than most
01:02:41.740 doctors.
01:02:42.120 He's much of a...
01:02:45.440 It's a good thing you're
01:02:46.200 rich, because you'd be out of
01:02:48.080 a job, tweeting stuff like
01:02:50.600 that.
01:02:51.280 But it is, right?
01:02:53.160 And, and that's what's a
01:02:54.580 blessing, I think.
01:02:55.220 You know, I live the American
01:02:55.980 dream, and that's why you
01:02:56.820 said, okay, I made this money.
01:02:58.740 The money is for the purpose
01:02:59.940 of me able to do this.
01:03:01.780 And I was very concerned about
01:03:04.700 being too loud about it, because
01:03:06.580 if this deep state would hold up
01:03:08.340 the approval, and they did, by
01:03:10.080 the way, they put us into
01:03:11.140 complete response later, I got
01:03:12.820 a thousand requests for
01:03:14.120 information.
01:03:14.920 The most, my submission was
01:03:16.840 close to 700,000 pages in
01:03:21.200 order to get this thing
01:03:21.840 through.
01:03:23.640 700,000?
01:03:25.600 It's like the U.S.
01:03:26.620 tax code.
01:03:27.280 This drug has been in trials
01:03:29.220 now for eight years.
01:03:31.320 2015.
01:03:32.500 How long was the Pfizer mRNA
01:03:34.280 COVID vaccine in trials?
01:03:35.740 Months.
01:03:36.400 A month.
01:03:37.100 Not even.
01:03:38.220 So, that's why I'm trying to
01:03:39.660 say, you know this, when you...
01:03:41.700 I know it's what I'm taking.
01:03:43.260 You know, when you were talking
01:03:44.000 about the user fees, so we
01:03:47.640 thought that the user fees was
01:03:49.060 going to accelerate the approval
01:03:50.940 where the FDA gets user fees
01:03:52.600 from the farmer, it turns out
01:03:55.140 that the big pharma user fees
01:03:58.720 are so large, it pays for the
01:04:00.640 salary for all these reviewers.
01:04:03.540 So, now the biotech companies,
01:04:05.340 the young biotech companies are
01:04:06.660 throttled.
01:04:07.160 So, the big pharma that does
01:04:11.180 this incremental little dots that
01:04:15.340 just follow the revenue, this
01:04:17.260 checkpoints, multi-billion dollar
01:04:19.400 Merck's, what, 20 billion, 30
01:04:21.200 billion on revenue, Bristol
01:04:22.740 Mice follows it, AstraZeneca
01:04:24.320 follows it, Roche follows it.
01:04:26.740 There's no...
01:04:27.840 They're all the same, but it's all
01:04:29.960 about incremental sameness and
01:04:32.920 follow the dollar.
01:04:34.180 But the innovation is really at
01:04:35.900 this young biotech companies
01:04:37.340 that are throttled.
01:04:39.680 This is what needs to be changed
01:04:41.060 by the FDA today.
01:04:42.280 They need a complete revamp
01:04:44.020 where people with skill sets
01:04:46.300 and the skill sets of the
01:04:49.620 modern science, not the old
01:04:51.900 drugs, have to be in place
01:04:54.800 to understand what's at stake
01:04:57.500 here.
01:04:58.000 Time for another True Life Alp
01:04:59.460 story.
01:04:59.840 I got a call from a friend of
01:05:00.800 mine yesterday, honestly, true
01:05:02.400 story, who said his girlfriend
01:05:04.140 had just broken up with him over
01:05:05.860 Alp.
01:05:06.660 He wouldn't stop.
01:05:07.680 And I thought to myself,
01:05:08.300 that's kind of sad.
01:05:08.920 And he said, no, it's not sad.
01:05:11.380 Imagine if I'd married her.
01:05:14.140 Now I know.
01:05:15.180 I was saved.
01:05:16.560 Then the next day, this same
01:05:18.160 friend is driving at twice the
01:05:19.640 speed limit through a major
01:05:20.480 American city, pulled over by a
01:05:21.780 cop in a speed trap.
01:05:22.860 Cop takes his license
01:05:23.780 registration, goes back to the
01:05:24.900 patrol car, runs him, comes
01:05:26.120 back, looks in the window and
01:05:27.260 sees a tin of Alp on the
01:05:28.760 dashboard.
01:05:29.620 Pauses.
01:05:30.840 Stunned.
01:05:31.300 Says to my friend, you use Alp?
01:05:33.420 Yeah, I do.
01:05:34.180 Says my friend.
01:05:34.860 So do I, says the cop.
01:05:35.840 We all do.
01:05:36.840 He looks at my friend
01:05:37.560 thoughtfully and goes, drive
01:05:38.920 safely, sir, and hands back his
01:05:40.220 license and registration.
01:05:41.180 No ticket.
01:05:42.940 So in two days, he's saved from a
01:05:44.940 tragic marriage to a girl who
01:05:46.260 doesn't like Alp and a speeding
01:05:48.200 ticket.
01:05:48.820 All true.
01:05:49.860 It's more than a nicotine.
01:05:50.980 In an age of 350 million people
01:05:54.580 are guessing there are about
01:05:55.320 350 million Alp stories.
01:05:57.100 Email us yours.
01:05:59.060 We want to know and read it on
01:06:00.800 the air.
01:06:01.080 Email tellall at alppouch.com.
01:06:04.400 Tellall at alppouch.com.
01:06:07.120 Give us your Alp story.
01:06:13.700 Well, you have to take the
01:06:14.620 conflicts out, too.
01:06:15.760 I mean, if a reviewer is paid by
01:06:17.600 the company whose drugs he's
01:06:18.820 reviewing, that's like such an
01:06:21.100 obvious conflict in no other
01:06:22.420 world would that be acceptable.
01:06:24.640 Not only wouldn't be acceptable
01:06:26.160 if then that reviewer has also
01:06:29.060 the role to block an innovator.
01:06:32.180 It gets worse.
01:06:33.260 Again, this just seems like crime
01:06:34.720 to me.
01:06:35.480 Yeah.
01:06:36.920 I mean, I don't know if this were
01:06:38.540 going on in another country
01:06:40.040 outside the United States.
01:06:42.160 And I'm an American, so I give
01:06:43.880 the United States every benefit of
01:06:45.180 every doubt.
01:06:45.580 It takes me forever to realize
01:06:46.780 something's corrupt because it's
01:06:47.880 America.
01:06:48.240 It's not corrupt.
01:06:48.820 But if this were happening, I
01:06:50.800 don't just name the country, China,
01:06:53.360 South Africa, you know, I'd be
01:06:55.280 like, well, that's the most corrupt
01:06:56.340 thing I've ever heard.
01:06:57.420 Well, that's exactly the fear I
01:06:58.660 have now.
01:06:59.640 The Chinese don't have this
01:07:01.280 restriction.
01:07:03.280 And their innovation is now
01:07:05.060 outstripping us.
01:07:06.820 Think about that.
01:07:08.180 I've always said America's lead
01:07:11.040 in health care and biomedical
01:07:13.800 innovation is the best in the
01:07:16.560 world.
01:07:16.900 And if we could use biomedical
01:07:19.280 innovation as foreign policy for
01:07:22.220 Africa and to Asia and to India
01:07:24.460 to bring that to the rest of the
01:07:26.700 world, that's how we lead.
01:07:29.160 I now read the papers and the
01:07:32.160 Chinese science is now outstripping
01:07:34.720 us.
01:07:35.440 Look what happened to AstraZeneca just
01:07:37.380 last week.
01:07:37.900 They just spent two billion dollars
01:07:40.020 investing in China now.
01:07:42.220 That's a tragedy for us.
01:07:43.840 Not for manufacturing?
01:07:45.520 For innovation.
01:07:47.320 Oh, so that's not good.
01:07:48.500 Not good.
01:07:49.720 Because the idea was we offshore all the
01:07:51.340 manufacturing, but we, the ideas
01:07:52.920 generate here.
01:07:54.220 So AstraZeneca's the English company.
01:07:55.900 So what's, what I'm saying is the
01:08:00.220 fundamental problem I think lies at
01:08:02.300 the FDA and even the NIH.
01:08:05.680 So the change that Bobby's bringing
01:08:07.700 in with Jay now being head of NIH and
01:08:09.860 Marty being head of FDA and Bobby
01:08:11.920 himself having the courage to stand
01:08:14.080 up to talk both against the food
01:08:16.260 industrial complex and the pharma
01:08:17.540 complex, take on the mercs of the world
01:08:21.220 and the phasers of the world.
01:08:24.980 I think we have maybe an opportunity
01:08:28.680 of what I call a period of
01:08:29.680 enlightenment.
01:08:31.180 And I really, I'm all about
01:08:32.500 enlightenment.
01:08:34.220 And if you can look at this Sanjay
01:08:35.660 piece, we are there now.
01:08:37.320 So I want to actually send out.
01:08:38.620 Can you guys stop and ask a question
01:08:39.720 though?
01:08:40.040 So your position is that cancer, but
01:08:43.620 not just cancer, all kinds of
01:08:46.040 illnesses are caused by weakened
01:08:49.080 immune system and inflammation.
01:08:51.220 It's all about the immune system.
01:08:53.100 Your body functions, you live or you
01:08:55.460 die by the immune system.
01:08:57.620 The senescent cells aging is the
01:09:00.600 immune system.
01:09:02.980 The cells in your body that allow you
01:09:06.280 to go to a hundred years old, 120
01:09:07.940 years old is based on the activity
01:09:12.080 and the function of the immune system
01:09:14.220 because the immune system, what's
01:09:15.540 regulating your healthy cells.
01:09:17.720 Can we just go through, I know this
01:09:19.200 is not like patentable, this is not
01:09:21.860 your business, but it's, what are
01:09:24.440 some of the obvious things a person
01:09:26.780 can do to strengthen his immune system?
01:09:29.820 So you ask what activates the natural
01:09:32.520 killer cell?
01:09:33.360 So it's like, you know, when you look
01:09:37.700 at the leaf and you talk about
01:09:38.600 apoptosis and the leaf actually sits
01:09:40.440 and it goes brown and it changes
01:09:43.140 but then it goes back up.
01:09:45.220 So all of human nature, all of nature
01:09:49.560 is filled with this biology of this balance.
01:09:52.980 So you have, you're a product of nature.
01:09:56.320 I mean, literally you're a product of
01:09:58.140 when you were a tadpole and a fish
01:10:00.880 as we came out.
01:10:02.280 So this cell is evolved since the Cambrian age.
01:10:07.740 Think about that.
01:10:09.020 This cell, this natural killer cell in your body.
01:10:12.060 I published my first article in
01:10:13.860 natural killer cell in 1990.
01:10:16.220 That's, this cell was only discovered in 1970s.
01:10:19.760 Think about that.
01:10:21.820 And we've ignored that cell.
01:10:23.560 This is what I call the missing link.
01:10:25.140 I'm going to announce that
01:10:27.940 at the American Urology Conference
01:10:31.360 in Las Vegas in the end of this month.
01:10:35.020 We have discovered,
01:10:36.320 I've not discovered the missing link,
01:10:38.220 we've discovered the awareness
01:10:39.600 of this missing link
01:10:40.760 and how to activate this missing link.
01:10:43.040 So the idea is to activate
01:10:45.100 the natural killer cell.
01:10:46.980 It has 30,000 receptors on this cell.
01:10:50.880 What this natural killer cell does,
01:10:52.860 is it replenishes itself with sleep.
01:10:56.520 So sleep is important.
01:10:58.620 It replenishes itself with light,
01:11:01.400 with sunlight.
01:11:03.200 And I believe there's a certain wavelength,
01:11:05.360 the red wavelength in the sunlight
01:11:07.400 that it actually requires
01:11:09.200 for it to be stimulated.
01:11:12.080 So.
01:11:12.860 This is why people get sicker in the winter.
01:11:14.760 Exactly.
01:11:15.280 That's why Seattle has the highest suicide rate.
01:11:19.320 Think about that, right?
01:11:20.720 So these things,
01:11:22.220 and if you look at the places like
01:11:24.500 Norway and Sweden
01:11:26.840 where there's a very little sun.
01:11:30.600 Finland.
01:11:32.800 So.
01:11:35.360 Nature's all about light.
01:11:37.960 Sunlight.
01:11:39.200 So that's why I think this is.
01:11:42.380 I like obvious observation.
01:11:43.900 Nations, nature's all about sunlight.
01:11:45.800 Of course.
01:11:46.520 Plants don't grow without sunlight.
01:11:47.720 Right.
01:11:47.860 And at the end of the day,
01:11:50.960 we're either about neutrons,
01:11:53.520 photons, and electrons.
01:11:54.480 That's what we are.
01:11:55.700 We as a human being,
01:11:56.800 it's nothing else but a battery and end gate.
01:12:00.060 When you think about that.
01:12:01.620 Right.
01:12:01.960 So we have a bunch of electrons and neutrons
01:12:04.220 and charges that floating through us
01:12:05.760 that actually interact.
01:12:08.400 And that's how I think of the human body.
01:12:10.180 That's what I said.
01:12:10.640 I think of it as an astrophysicist.
01:12:12.620 It's crazy,
01:12:13.160 but that's how my mind works.
01:12:16.300 So sleep,
01:12:17.860 getting sunlight.
01:12:18.860 And having food
01:12:21.100 that doesn't immunosuppress.
01:12:22.840 Your biome,
01:12:24.560 the bacteria in your body
01:12:26.220 sends out materials
01:12:29.000 that actually will immunosuppress
01:12:31.280 or activate.
01:12:32.460 What are the immunosuppressive foods?
01:12:36.920 Unfortunately,
01:12:37.760 I think most natural foods are fine.
01:12:40.500 It's the toxins in the food.
01:12:41.840 Exactly what I said,
01:12:42.860 the excipients.
01:12:44.100 So when you talk about the red dye,
01:12:45.740 the processed foods,
01:12:46.760 all this unnatural processed stuff
01:12:49.660 ultimately cause inflammation.
01:12:53.300 Now,
01:12:53.920 when it gets back to this plasticity
01:12:56.540 of inflammation,
01:12:59.380 inflammation causes immunosuppression
01:13:01.480 because it causes all these cells
01:13:03.980 to flip
01:13:04.740 from the killer state
01:13:06.700 to the suppressor state.
01:13:08.380 That's why we said
01:13:09.200 we have this dichotomy
01:13:10.880 of is the cat alive,
01:13:12.140 is the cat dead?
01:13:14.020 You see it,
01:13:14.700 you see it too
01:13:15.440 in the elderly.
01:13:16.420 You know,
01:13:16.920 it's why an infection
01:13:17.880 or a,
01:13:18.520 you know,
01:13:18.820 a diabetic foot infection
01:13:20.080 can lead to a systemic infection
01:13:21.540 and kill the person.
01:13:22.680 Correct.
01:13:23.940 Right.
01:13:24.800 That's why,
01:13:25.420 you know,
01:13:25.840 when this guy
01:13:26.620 discovered that
01:13:28.000 H. pylori
01:13:28.900 causes gastric ulcer,
01:13:30.240 they said,
01:13:30.500 you're nuts,
01:13:30.940 it's acid.
01:13:31.660 I remember that.
01:13:32.560 Right.
01:13:32.700 So well.
01:13:33.400 So well.
01:13:34.120 So now when you think about that,
01:13:35.660 so that's what I'm saying,
01:13:36.500 this dogma.
01:13:36.800 But that's a consensus now,
01:13:38.320 right?
01:13:38.680 Acid does not cause ulcers.
01:13:40.700 Well,
01:13:40.980 it's the cause and effect.
01:13:42.080 So H. pylori causes the inflammation
01:13:44.460 and then the acid
01:13:45.620 that's naturally in your stomach
01:13:46.960 activates it.
01:13:48.320 But it's not the core cause.
01:13:49.520 Correct.
01:13:49.840 Correct.
01:13:50.060 But it's all about dogma.
01:13:51.880 That's why I call this a vaccine,
01:13:53.280 but it's a bio shield.
01:13:55.780 So.
01:13:56.340 So you have to fight dogma.
01:13:57.560 Part of the problem
01:13:58.240 is you're fighting.
01:13:59.740 So I will ask you,
01:14:01.860 I wanted to ask us
01:14:04.080 to do an experiment.
01:14:05.600 I'm all for it.
01:14:07.560 Where we pick up the phone,
01:14:09.540 call any random oncologist,
01:14:11.600 not to shame them,
01:14:13.360 primary care physician,
01:14:14.560 pick up a phone
01:14:15.300 and said,
01:14:16.880 you do a CBC,
01:14:18.080 correct?
01:14:19.020 Yes.
01:14:19.160 Can you define what a CBC is?
01:14:20.660 A complete blood count.
01:14:21.980 Just so you take a blood
01:14:23.000 and you look for.
01:14:24.280 Yeah,
01:14:24.520 the blood screen
01:14:25.040 that everyone gets.
01:14:25.660 Blood screen.
01:14:25.980 Yeah.
01:14:26.520 For whether you're anemic
01:14:27.380 or not anemic.
01:14:28.000 Yeah, yeah.
01:14:28.240 People understand that,
01:14:29.420 right?
01:14:29.660 Red blood cells.
01:14:30.760 And you see these red blood cells.
01:14:32.800 And you give chemotherapy
01:14:34.020 and radiation
01:14:35.280 and you ask,
01:14:37.620 what do you look for?
01:14:39.180 Well,
01:14:39.540 we look to see if you're anemic
01:14:40.600 so we can give you
01:14:42.180 this drug
01:14:42.720 that Amgen makes
01:14:43.580 called Epigen.
01:14:45.260 We look to see
01:14:46.020 whether your platelets
01:14:46.660 have gone down
01:14:47.320 so we can give you
01:14:48.360 a platelet transfusion.
01:14:49.800 We look to see
01:14:50.600 whether your neutrophils
01:14:51.720 have gone down
01:14:52.320 so that you don't get
01:14:53.200 an infection
01:14:53.740 called neutropenic fever
01:14:54.800 so we give you
01:14:55.380 this drug
01:14:55.700 Neupogen.
01:14:56.820 Well,
01:14:58.400 the problem is
01:14:59.300 does red blood cells
01:15:00.460 cure cancer?
01:15:01.540 No.
01:15:02.000 Does platelets
01:15:02.480 cure cancer?
01:15:03.140 No.
01:15:03.840 Does neutrophils
01:15:05.140 kill cancer?
01:15:06.000 No.
01:15:06.580 What kills cancer?
01:15:08.700 The natural killer cells
01:15:09.580 and T cells.
01:15:10.160 So in that CBC
01:15:11.000 there's a thing called
01:15:11.900 the lymphocytes,
01:15:13.020 correct?
01:15:13.740 Do you look at that?
01:15:14.680 No.
01:15:16.420 The only cell
01:15:17.620 that is important
01:15:19.100 that kills cancer,
01:15:21.840 99.9%
01:15:23.280 of oncologists
01:15:24.020 will say,
01:15:24.600 we don't pay
01:15:25.820 any attention
01:15:26.240 to that.
01:15:28.720 That is surprising.
01:15:30.420 She's a vocal
01:15:30.640 determined
01:15:31.000 that does he
01:15:31.640 mass backwards?
01:15:33.320 Why?
01:15:35.040 Why?
01:15:35.840 If you're
01:15:36.260 not to,
01:15:37.100 you know,
01:15:37.500 attack oncologists
01:15:38.540 but if you're
01:15:39.180 fighting cancer
01:15:40.240 why do you
01:15:40.760 ignore the one
01:15:41.340 cell that fights
01:15:41.900 cancer?
01:15:43.660 That's the
01:15:44.200 experiment I want
01:15:44.960 us to do.
01:15:48.340 That's a little
01:15:48.980 mysterious.
01:15:49.820 Am I missing
01:15:50.220 something?
01:15:52.940 That's
01:15:53.340 exactly.
01:15:55.780 That's the
01:15:56.400 missing link.
01:15:57.600 The final frontier,
01:15:59.940 the E equals
01:16:00.580 MC squared,
01:16:02.060 the God's
01:16:02.540 equation.
01:16:04.600 That is the
01:16:05.600 key element
01:16:06.140 in your body
01:16:06.760 that we've
01:16:07.180 been missing
01:16:07.620 for 50 years.
01:16:10.680 For 50 years.
01:16:12.900 But,
01:16:13.780 it's even worse
01:16:14.440 than that.
01:16:14.880 those
01:16:19.640 missing link
01:16:21.540 we've
01:16:22.420 actually
01:16:22.640 destroyed
01:16:23.180 with
01:16:23.420 chemotherapy.
01:16:24.600 We've
01:16:25.080 destroyed
01:16:25.420 with
01:16:25.640 radiotherapy
01:16:26.260 and we've
01:16:26.820 destroyed
01:16:27.220 with
01:16:27.420 checkpoint
01:16:27.700 inhibitors.
01:16:28.660 We've
01:16:28.840 destroyed
01:16:29.660 with
01:16:29.920 steroids.
01:16:31.060 Guess
01:16:31.320 what we
01:16:31.580 give to
01:16:31.900 patients?
01:16:33.040 Chemotherapy,
01:16:33.660 radiotherapy,
01:16:34.300 steroids,
01:16:34.720 and checkpoints.
01:16:36.820 Am I
01:16:37.380 missing
01:16:37.620 something?
01:16:38.040 I don't
01:16:40.240 know anything
01:16:40.500 about this.
01:16:41.340 You know,
01:16:41.680 I was a
01:16:42.480 Russian studies
01:16:43.040 major.
01:16:44.280 But,
01:16:44.700 I have
01:16:45.460 no,
01:16:46.020 just because
01:16:46.440 I'm 55,
01:16:47.120 I know a lot
01:16:47.580 of cancer
01:16:47.920 patients,
01:16:48.700 I have
01:16:49.180 always been
01:16:49.900 skeptical that
01:16:50.640 the protocol
01:16:51.080 is effective
01:16:52.000 based on,
01:16:52.820 so what I
01:16:53.240 have noticed
01:16:53.660 is,
01:16:54.740 those therapies
01:16:55.620 seem to beat
01:16:56.660 back the cancer
01:16:57.360 in short term.
01:16:59.360 But then,
01:17:00.240 so often you
01:17:00.940 watch it come
01:17:01.500 roaring back.
01:17:02.960 You know,
01:17:03.160 I'm in remission
01:17:03.820 and then wham,
01:17:05.320 you just get hit
01:17:05.780 by a tidal wave
01:17:06.420 of cancer
01:17:06.820 and eliminated.
01:17:07.700 So if you
01:17:08.160 see my
01:17:08.620 writings,
01:17:09.620 I have
01:17:09.960 written so
01:17:10.480 many times,
01:17:11.160 you win
01:17:11.520 the battle
01:17:11.980 and you
01:17:12.280 lose the
01:17:12.820 war.
01:17:14.040 So this
01:17:14.720 is not,
01:17:15.100 I'm not
01:17:15.340 imagining this
01:17:15.900 phenomenon.
01:17:16.040 You're not
01:17:16.260 imagining it,
01:17:16.960 you win
01:17:17.420 the battle
01:17:17.920 and you
01:17:18.220 lose the
01:17:18.700 war.
01:17:19.060 The reason
01:17:19.460 you win
01:17:19.800 the battle
01:17:20.280 is because
01:17:20.880 you see
01:17:21.140 this little
01:17:21.660 blip
01:17:22.440 of a response
01:17:23.640 with chemotherapy
01:17:24.260 and then
01:17:26.060 the moment
01:17:26.440 you've
01:17:26.780 stopped,
01:17:27.280 or not
01:17:27.580 even,
01:17:27.980 you've
01:17:28.940 actually now
01:17:29.640 killed the
01:17:30.320 cells that
01:17:30.700 are there
01:17:30.980 to protect
01:17:31.440 you,
01:17:31.740 you've
01:17:31.960 upregulated
01:17:32.680 these
01:17:32.960 suppressor
01:17:33.440 cells and
01:17:34.260 you get
01:17:34.480 metastasis
01:17:35.060 and you
01:17:35.360 have to
01:17:37.600 go to
01:17:37.800 hospice.
01:17:39.580 Think about
01:17:40.340 that.
01:17:40.560 That's what
01:17:40.900 we've been
01:17:41.180 doing for
01:17:41.820 50 years.
01:17:43.560 That's the
01:17:44.200 dogma that
01:17:44.700 I'm fighting.
01:17:45.880 So what,
01:17:46.360 okay,
01:17:46.660 so let's
01:17:47.080 just say
01:17:47.680 I leave
01:17:48.760 here and
01:17:49.320 I'm
01:17:49.480 diagnosed
01:17:50.020 with,
01:17:50.680 you know,
01:17:51.040 a serious
01:17:52.080 life-threatening
01:17:52.880 form of
01:17:53.240 cancer.
01:17:53.760 What would
01:17:54.740 you recommend
01:17:55.420 I do
01:17:55.780 next?
01:17:57.400 So this
01:17:58.920 is where
01:17:59.220 you play
01:17:59.540 chess and
01:18:00.620 don't play
01:18:01.020 checkers.
01:18:02.260 This is where
01:18:02.980 you play
01:18:03.260 go where
01:18:05.180 you say,
01:18:06.000 okay,
01:18:06.160 what is
01:18:06.460 the cancer
01:18:06.900 doing first?
01:18:08.320 Well,
01:18:08.620 guess what?
01:18:09.120 The cancer
01:18:09.620 is not
01:18:09.980 stupid,
01:18:10.500 so it's
01:18:10.940 figured out
01:18:11.740 a way to
01:18:12.120 hide from
01:18:12.800 these killer
01:18:13.240 cells.
01:18:16.360 So the
01:18:16.960 first thing
01:18:17.300 you have
01:18:17.560 to do
01:18:17.900 is you
01:18:18.200 have to
01:18:18.480 expose
01:18:19.140 the receptors
01:18:20.460 on the
01:18:20.840 cancers of
01:18:21.340 the killer
01:18:21.620 cells could
01:18:22.080 recognize
01:18:22.580 that.
01:18:24.440 So even
01:18:25.660 in the
01:18:26.420 presence of
01:18:27.600 chemotherapy,
01:18:29.340 you don't
01:18:30.000 use chemotherapy
01:18:30.580 to kill
01:18:31.360 the tumor.
01:18:34.220 You use
01:18:34.920 a tiny
01:18:36.020 dose of
01:18:36.520 chemotherapy
01:18:36.980 just to
01:18:37.560 stress the
01:18:38.400 patient,
01:18:39.080 the cancer,
01:18:40.220 and the
01:18:40.540 cancer says,
01:18:40.960 oh my god,
01:18:41.520 something's
01:18:41.880 coming at
01:18:42.280 me and
01:18:42.620 it starts
01:18:43.020 exposing
01:18:43.620 itself.
01:18:44.620 So you
01:18:45.300 go from
01:18:45.620 hide to
01:18:46.100 expose.
01:18:47.580 So you
01:18:48.060 use the
01:18:48.580 chemotherapy
01:18:49.200 at a low
01:18:50.240 dose called
01:18:50.700 low metronomic
01:18:51.620 dose to
01:18:52.220 use it as
01:18:53.680 what I call
01:18:54.280 an immunomodulator.
01:18:57.220 Importantly,
01:18:57.740 I was
01:18:58.440 asking,
01:18:58.760 you're
01:18:58.940 describing
01:18:59.320 cancer as
01:19:00.260 almost like
01:19:00.900 an autonomous
01:19:01.580 entity that
01:19:03.200 has a goal,
01:19:04.500 a will to
01:19:05.220 destroy the
01:19:05.780 human body.
01:19:06.460 It does.
01:19:07.560 But that's,
01:19:08.340 I mean,
01:19:08.620 you're describing
01:19:09.180 like a...
01:19:10.080 It's a
01:19:10.400 machine.
01:19:11.840 But with
01:19:12.300 intent and
01:19:14.420 kind of clever
01:19:15.340 behavior, it
01:19:16.320 hides?
01:19:16.920 Like what?
01:19:17.500 You're describing
01:19:18.060 like some
01:19:18.460 foreign entity
01:19:20.100 in the body
01:19:20.640 that's trying to
01:19:21.160 kill the body.
01:19:21.780 It is.
01:19:22.760 It's like a
01:19:23.280 virus.
01:19:24.980 But how can
01:19:26.400 a tumor know
01:19:27.100 to hide?
01:19:27.920 Because it
01:19:28.520 has genomic
01:19:29.100 sequencing in
01:19:29.840 there that
01:19:30.140 actually blocks
01:19:30.800 the expression.
01:19:32.820 That just
01:19:33.500 sounds diabolical.
01:19:34.440 It is
01:19:34.780 diabolical.
01:19:36.000 That's why I
01:19:36.820 spent 50
01:19:37.380 years trying
01:19:37.840 to understand.
01:19:39.480 It's not a
01:19:40.300 human brain.
01:19:42.060 It's biology
01:19:43.120 and how
01:19:43.740 biology can
01:19:44.440 mutate and
01:19:45.060 actually,
01:19:45.660 your body is a
01:19:46.560 beautiful thing.
01:19:47.660 It's an
01:19:48.200 exquisite thing.
01:19:49.720 So it
01:19:50.320 has to have
01:19:51.000 this thing
01:19:51.400 called epigenetics.
01:19:52.960 So it
01:19:53.880 has the
01:19:54.480 genomic
01:19:54.860 sequencing that
01:19:55.620 says, I'm
01:19:56.040 not going to
01:19:56.400 express this.
01:19:57.400 So we can
01:19:58.160 now stress
01:19:59.540 that and
01:20:00.120 block the
01:20:01.160 block and
01:20:02.400 it now
01:20:02.760 expresses
01:20:03.200 something on
01:20:04.380 its surface
01:20:04.840 that our T
01:20:05.560 cells can
01:20:05.960 recognize.
01:20:07.340 So that's
01:20:07.780 the first
01:20:08.060 step.
01:20:08.660 Smoke it
01:20:09.120 out.
01:20:09.560 Smoke it
01:20:09.900 out.
01:20:11.160 But your
01:20:11.840 body has
01:20:12.480 mechanisms to
01:20:13.380 smoke it
01:20:13.760 out.
01:20:14.560 It gets
01:20:15.020 even more
01:20:15.600 complicated.
01:20:16.800 Your body
01:20:17.260 has a thing
01:20:17.840 where you can
01:20:18.760 induce what
01:20:19.420 you call
01:20:19.700 damps,
01:20:20.540 which is
01:20:20.940 damage
01:20:21.240 associated
01:20:21.740 molecular
01:20:23.380 patterns,
01:20:23.880 but forget
01:20:24.600 that.
01:20:25.220 It's a way
01:20:25.920 of actually
01:20:26.380 smoking it
01:20:27.000 out so
01:20:27.740 now your
01:20:28.100 T cells can
01:20:28.640 recognize it.
01:20:29.360 Okay, so
01:20:29.640 now you've
01:20:30.160 done step
01:20:30.520 one.
01:20:30.840 That's just
01:20:31.140 step one.
01:20:32.720 That's one
01:20:33.360 molecule.
01:20:34.420 So this is
01:20:34.880 why I think
01:20:35.640 the FDA needs
01:20:36.380 to understand
01:20:37.220 to understand
01:20:37.240 we're fighting
01:20:38.400 a war where
01:20:39.500 you need
01:20:39.820 battlefield
01:20:40.240 awareness
01:20:40.880 all
01:20:41.300 simultaneously,
01:20:42.340 where you
01:20:42.840 have to
01:20:43.120 orchestrate
01:20:43.680 your Marines,
01:20:44.400 your Army,
01:20:44.960 your Navy,
01:20:45.440 your Air Force,
01:20:46.500 all in the
01:20:47.440 right place,
01:20:48.300 so that you
01:20:49.260 can use the
01:20:50.060 tumor in your
01:20:50.760 body to
01:20:52.700 act as the
01:20:53.600 weapon,
01:20:54.440 as the
01:20:54.820 vaccine.
01:20:55.860 Because a
01:20:56.620 tumor has
01:20:58.220 molecules that
01:20:59.100 is foreign to
01:20:59.600 the rest of
01:20:59.940 your body,
01:21:00.560 and if you
01:21:01.180 educate your
01:21:01.800 T cells to
01:21:02.380 recognize those
01:21:03.020 molecules that
01:21:03.780 are foreign to
01:21:04.240 the rest of
01:21:04.520 your body,
01:21:05.420 that T cell
01:21:05.920 can remember.
01:21:07.380 Now you have
01:21:08.100 a memory T cell.
01:21:09.880 So for the
01:21:10.700 first time in
01:21:11.360 2024, in our
01:21:12.520 package insert,
01:21:13.880 we have a
01:21:14.620 molecule called
01:21:15.520 the BioShield
01:21:16.160 now, I'll call
01:21:16.860 it the BioShield,
01:21:18.080 that can activate
01:21:18.920 the natural
01:21:19.420 killer cell,
01:21:20.500 activate the
01:21:21.140 killer T cell,
01:21:22.020 and drive
01:21:22.700 memory T cells.
01:21:24.620 We now have
01:21:25.220 bladder cancer
01:21:25.820 patients who
01:21:26.580 would have lost
01:21:27.220 their bladder in
01:21:28.420 complete remission
01:21:29.280 for nine years
01:21:30.060 and still alive.
01:21:32.460 And so the
01:21:32.920 protocol is,
01:21:33.780 you low
01:21:35.100 dose, you
01:21:35.680 administer low
01:21:36.320 dose chemo to
01:21:37.960 identify where
01:21:38.820 the tumor is.
01:21:39.400 You smoke it
01:21:39.800 out.
01:21:40.100 You smoke it
01:21:40.640 out.
01:21:41.100 But at the
01:21:41.680 same time, you
01:21:43.320 need to have the
01:21:43.960 natural killer
01:21:44.440 cells and T cells
01:21:45.240 ready.
01:21:47.060 So you give
01:21:47.860 them the
01:21:48.280 BioShield that
01:21:49.500 upregulates and
01:21:50.320 stimulates your
01:21:50.880 natural killer
01:21:51.380 cells and T cells.
01:21:52.400 What about
01:21:52.640 radiation?
01:21:53.200 Does that play
01:21:53.540 a role?
01:21:54.800 That'll kill
01:21:55.300 your natural
01:21:55.680 killer cells and
01:21:56.280 T cells.
01:21:56.860 So no.
01:21:58.140 Unless, and
01:21:59.140 this is
01:21:59.460 unless, today
01:22:01.380 the radiation is
01:22:02.320 what they call
01:22:02.760 70 gigabits,
01:22:04.100 huge doses.
01:22:07.000 Unless you
01:22:07.640 give a tiny
01:22:08.540 little dose just
01:22:09.560 to the tumor,
01:22:10.620 no way else,
01:22:11.580 to smoke it
01:22:12.180 out.
01:22:12.860 So you use
01:22:13.500 radiation in a
01:22:14.400 very different
01:22:14.880 way called
01:22:15.340 SBRT, a low
01:22:17.580 dose.
01:22:18.080 To identify
01:22:18.680 rather than
01:22:19.360 destroy.
01:22:20.080 To expose
01:22:21.020 rather than
01:22:21.620 expose.
01:22:22.000 So the
01:22:23.200 algorithm is
01:22:24.220 expose, from
01:22:25.760 hide to
01:22:26.260 expose.
01:22:27.740 The next
01:22:28.200 algorithm is
01:22:29.160 activate and
01:22:29.900 proliferate your
01:22:30.620 NK cells.
01:22:31.940 And that's
01:22:32.220 what the
01:22:32.500 subcutaneous
01:22:33.140 injection.
01:22:33.780 The next
01:22:34.160 algorithm is
01:22:35.100 to educate
01:22:36.160 your T cells
01:22:36.940 with a
01:22:37.340 vaccine that
01:22:38.580 you anticipate
01:22:39.280 that it's
01:22:39.920 going to be
01:22:40.360 exposed.
01:22:41.560 So you now
01:22:42.440 have educated
01:22:43.200 T cells
01:22:43.920 ready.
01:22:45.480 So you've
01:22:46.160 got educated
01:22:46.660 T cells,
01:22:47.300 you've got
01:22:47.660 NK cells.
01:22:49.960 And the
01:22:50.280 next thing is
01:22:50.900 to activate
01:22:51.960 your macrophages
01:22:52.920 so they
01:22:53.860 become killer
01:22:54.640 macrophages.
01:22:55.900 And the
01:22:56.500 next step is
01:22:57.080 to suppress
01:22:57.740 the suppressors.
01:22:59.560 You do
01:23:00.200 that all
01:23:00.580 simultaneously.
01:23:02.160 How much
01:23:02.360 human suffering
01:23:02.940 is involved
01:23:03.540 in this?
01:23:03.940 There's a lot
01:23:04.600 in a conventional
01:23:05.340 course of
01:23:05.940 cancer therapy.
01:23:06.860 All as an
01:23:07.540 outpatient.
01:23:08.640 We've done
01:23:09.080 hundreds of
01:23:10.120 patients now.
01:23:11.120 So you're
01:23:11.520 not, so
01:23:12.280 someone taking
01:23:12.940 this course
01:23:13.700 is not going
01:23:14.620 to, is he
01:23:15.420 going to lose
01:23:15.720 his hair,
01:23:16.600 throw up all
01:23:17.080 as an
01:23:17.500 outpatient.
01:23:21.180 What's even
01:23:21.840 more exciting.
01:23:22.780 Because that
01:23:23.100 matters for
01:23:23.720 cancer patients.
01:23:24.540 I mean, it's
01:23:24.740 hard to be a
01:23:25.220 cancer patient.
01:23:25.980 It's horrible.
01:23:26.860 Yeah, but
01:23:28.420 we're now seeing
01:23:29.100 patients now in
01:23:29.720 complete remission.
01:23:31.140 More importantly,
01:23:32.000 I want to
01:23:32.340 treat patients
01:23:32.980 before they
01:23:34.160 need surgery.
01:23:35.740 So I can
01:23:36.500 use the
01:23:37.040 tumor itself
01:23:37.880 in the
01:23:38.400 body as
01:23:39.800 the vaccine
01:23:40.440 to educate
01:23:42.000 the body
01:23:42.520 and the
01:23:42.800 T cells
01:23:43.340 all about
01:23:45.080 that tumor.
01:23:45.580 What's even
01:23:48.520 more exciting
01:23:48.940 now, we
01:23:49.600 can take
01:23:49.920 blood from
01:23:50.340 you, one
01:23:51.320 pint, and
01:23:53.900 extract the
01:23:54.480 natural killer
01:23:54.960 cell in the
01:23:55.520 T cell and
01:23:56.680 grow billions
01:23:57.420 and store
01:23:59.440 it in
01:24:00.020 cryopreservation
01:24:00.760 just like
01:24:01.800 you do
01:24:02.780 I don't
01:24:04.500 know,
01:24:05.000 from
01:24:06.760 cord blood.
01:24:08.280 We now
01:24:08.980 have the
01:24:09.320 ability to
01:24:10.660 grow these
01:24:11.300 natural killer
01:24:11.880 cells and give
01:24:12.760 it to anybody.
01:24:13.300 So I
01:24:15.320 wish that
01:24:15.720 for the
01:24:15.980 first time
01:24:16.440 we could
01:24:16.740 become the
01:24:17.200 American Red
01:24:17.800 Cross of
01:24:18.260 cancer, our
01:24:19.880 country, and
01:24:22.300 use these
01:24:23.080 innovations as
01:24:24.760 foreign policy.
01:24:26.100 So could,
01:24:27.000 looking back,
01:24:29.660 do you think it
01:24:30.160 was unwise to
01:24:31.580 require the
01:24:32.280 population to
01:24:33.060 get the
01:24:33.580 Pfizer and
01:24:34.180 Moderna
01:24:34.580 vaccine?
01:24:35.580 it depends
01:24:39.280 on the
01:24:39.900 time.
01:24:42.020 I think it's
01:24:42.760 unwise to
01:24:43.360 keep on giving
01:24:43.800 this nonsense.
01:24:45.140 I shouldn't
01:24:45.600 say that.
01:24:46.080 I should be
01:24:46.540 careful when I
01:24:48.320 call it
01:24:48.640 nonsense.
01:24:49.420 The idea of
01:24:50.200 getting an
01:24:50.640 antibody vaccine
01:24:51.440 and then
01:24:51.800 creating another
01:24:52.300 antibody vaccine
01:24:53.060 and another
01:24:53.460 antibody vaccine
01:24:54.220 that chases
01:24:55.120 your tail.
01:24:57.320 I don't know
01:24:58.060 what that's
01:24:58.460 doing, those
01:24:59.240 spike proteins.
01:25:02.260 It's not
01:25:02.900 ridding your
01:25:03.360 body of COVID
01:25:04.020 though.
01:25:04.320 Is it
01:25:06.680 creating even
01:25:08.100 more variants
01:25:08.880 in your body?
01:25:09.580 I don't know.
01:25:10.900 Is that
01:25:11.200 possible?
01:25:14.080 I see
01:25:15.280 the idea
01:25:16.580 and I'm
01:25:17.420 such a
01:25:17.800 scientist, I
01:25:18.300 need to
01:25:18.620 actually go
01:25:19.120 and actually
01:25:19.540 pull out
01:25:20.100 these variants
01:25:20.660 and sequencing
01:25:21.400 them.
01:25:22.320 That's what
01:25:22.620 we're doing
01:25:22.900 now.
01:25:23.220 Is it
01:25:23.240 theoretically
01:25:23.580 possible?
01:25:23.960 It's
01:25:24.140 theoretically
01:25:24.580 possible.
01:25:25.780 Could there
01:25:26.200 be any
01:25:27.240 change to
01:25:27.940 a person's
01:25:28.440 DNA from
01:25:29.100 taking this?
01:25:29.500 Well, that's
01:25:29.780 what this
01:25:30.080 does.
01:25:32.260 It's what
01:25:32.900 the mRNA
01:25:33.240 vaccines do.
01:25:33.920 Correct.
01:25:34.140 It converts
01:25:34.680 into DNA
01:25:35.320 and it
01:25:35.700 converts
01:25:36.020 into replicating
01:25:37.060 and that's
01:25:37.520 what it
01:25:37.760 does and
01:25:38.120 it replicates
01:25:39.020 an RNA
01:25:40.260 virus.
01:25:40.920 It becomes
01:25:41.300 the virus.
01:25:42.240 As someone
01:25:42.500 who's clearly
01:25:42.920 you've made
01:25:43.200 reference to it
01:25:43.640 a couple
01:25:43.800 times,
01:25:44.100 interested in
01:25:44.560 evolution,
01:25:45.580 to change
01:25:48.220 the DNA
01:25:49.380 of a
01:25:49.740 species is
01:25:50.600 to change
01:25:51.040 the species
01:25:51.520 over time.
01:25:52.380 No, I
01:25:52.740 don't think
01:25:53.020 it integrates.
01:25:54.280 My concern
01:25:55.100 is that
01:25:55.440 this virus
01:25:56.940 is all
01:25:57.300 about
01:25:57.540 itself.
01:25:59.800 Very
01:26:00.280 selfish
01:26:00.600 virus.
01:26:01.120 selfish
01:26:01.620 virus.
01:26:02.040 In fact,
01:26:02.440 the fact
01:26:02.760 that it's
01:26:03.060 now less
01:26:04.960 deadly is
01:26:06.400 in the
01:26:06.700 virus's
01:26:07.120 interest.
01:26:07.960 The virus
01:26:08.280 doesn't want
01:26:08.660 to kill
01:26:08.920 you because
01:26:09.200 you are
01:26:09.460 the incubator.
01:26:11.660 Think about
01:26:12.360 that.
01:26:13.660 The virus
01:26:14.260 wants you
01:26:14.600 alive.
01:26:14.980 You're
01:26:18.620 speaking in
01:26:19.100 a way that
01:26:19.440 suggests intent
01:26:20.460 and forethought.
01:26:22.120 It's
01:26:22.600 biology.
01:26:23.520 It's
01:26:23.600 evolution.
01:26:24.180 Everything
01:26:24.440 is evolution.
01:26:26.080 It was
01:26:26.500 the intent
01:26:27.020 to go
01:26:27.360 from a
01:26:27.720 tadpole
01:26:28.080 to a
01:26:29.540 human
01:26:29.740 being.
01:26:30.580 I don't
01:26:30.820 know,
01:26:31.120 but to
01:26:31.680 consider the
01:26:32.680 possibility
01:26:33.060 you have
01:26:33.300 something,
01:26:33.780 or the
01:26:34.060 certainty
01:26:34.360 that you
01:26:34.620 have
01:26:34.700 something
01:26:34.980 within
01:26:35.220 your
01:26:35.520 body
01:26:35.860 that
01:26:36.060 is
01:26:36.200 acting
01:26:36.540 against
01:26:36.960 your
01:26:37.220 body's
01:26:37.620 interest
01:26:37.960 on
01:26:38.220 purpose.
01:26:39.340 Yeah,
01:26:39.500 because it
01:26:39.920 needs you
01:26:40.460 to be
01:26:40.960 the
01:26:41.140 incubator.
01:26:41.560 So,
01:26:41.840 you know,
01:26:42.020 the
01:26:42.980 veracity
01:26:45.040 when it
01:26:49.360 was so
01:26:50.300 man-made.
01:26:52.120 So,
01:26:52.320 you know,
01:26:52.540 viral evolution,
01:26:53.640 when it
01:26:53.880 would be
01:26:54.200 called
01:26:54.380 affinity
01:26:56.460 maturation,
01:26:58.080 it
01:26:58.320 matures
01:26:58.760 itself so
01:27:00.120 that it
01:27:00.400 can be
01:27:00.680 more
01:27:01.000 infective.
01:27:01.600 That's
01:27:01.800 one thing
01:27:02.460 it tries
01:27:02.940 to do
01:27:03.360 as a
01:27:03.660 virus.
01:27:04.060 I mean,
01:27:04.480 these
01:27:04.960 viruses
01:27:05.460 are
01:27:06.740 living
01:27:08.000 organisms.
01:27:10.860 And when
01:27:11.540 you say
01:27:11.700 living,
01:27:12.020 they don't
01:27:12.240 have
01:27:12.380 brains
01:27:12.760 or
01:27:12.880 anything
01:27:13.040 else,
01:27:13.360 but they
01:27:13.660 have
01:27:14.340 machinery
01:27:15.300 that
01:27:17.200 is very
01:27:17.940 sophisticated.
01:27:19.020 They have
01:27:19.120 what they
01:27:19.340 call promoters
01:27:19.960 and etc.
01:27:20.780 Why would
01:27:21.200 you make
01:27:21.560 something like
01:27:22.100 that on
01:27:22.400 purpose?
01:27:23.160 Well,
01:27:23.440 there are
01:27:24.220 viruses in
01:27:25.040 nature,
01:27:25.860 which theoretically
01:27:27.200 will go
01:27:28.940 through what
01:27:29.280 you call
01:27:29.520 maturation
01:27:30.160 that normally
01:27:31.240 do not
01:27:32.000 infect you.
01:27:33.360 They're
01:27:33.600 not
01:27:33.840 species,
01:27:34.740 they're
01:27:34.940 species
01:27:35.200 specific.
01:27:35.740 Exactly.
01:27:37.180 But why
01:27:37.880 would you
01:27:38.240 then change
01:27:38.860 that?
01:27:40.520 And that's
01:27:40.900 what this,
01:27:41.480 gain-of-function
01:27:42.760 study was
01:27:43.480 so dangerous.
01:27:44.720 That's why
01:27:45.100 it was
01:27:45.300 prohibited.
01:27:45.960 It's so
01:27:46.440 self-evidently
01:27:47.580 evil to
01:27:49.140 even play
01:27:49.820 with something
01:27:50.240 like that
01:27:50.800 with the
01:27:51.280 potential
01:27:51.620 consequences
01:27:52.240 which we're
01:27:52.600 now seeing,
01:27:53.820 13-year-olds
01:27:54.480 getting pancreatic
01:27:55.200 cancer.
01:27:56.260 How could
01:27:57.320 anyone do
01:27:57.920 that?
01:27:58.280 And why
01:27:58.520 aren't those
01:27:58.780 people in
01:27:59.160 prison?
01:28:00.220 Well,
01:28:00.440 it was
01:28:00.620 banned,
01:28:01.160 right?
01:28:01.660 It was
01:28:01.840 banned in
01:28:02.140 the United
01:28:02.360 States.
01:28:02.860 Yeah.
01:28:03.420 Hence the
01:28:03.880 Wuhan lab
01:28:04.460 partnership.
01:28:05.080 Well,
01:28:05.360 so we
01:28:05.760 subverted it.
01:28:06.540 Now you
01:28:06.900 talk about
01:28:07.440 why so few
01:28:08.960 people could
01:28:09.460 harm so
01:28:10.240 many.
01:28:12.980 How they
01:28:13.560 got around
01:28:13.960 that is for
01:28:15.540 the investigators
01:28:16.180 to find out.
01:28:16.720 But I mean,
01:28:17.140 you're someone
01:28:17.880 who's created
01:28:18.820 cancer drugs,
01:28:20.060 who spent a lot
01:28:20.540 of his life
01:28:21.020 in a lab.
01:28:23.280 That's why
01:28:23.800 you're a
01:28:24.020 billionaire.
01:28:25.300 So you know
01:28:26.020 a lot about
01:28:26.620 this topic,
01:28:27.200 obviously.
01:28:28.300 And it's
01:28:28.720 clear to you
01:28:29.840 that that's
01:28:30.580 just too
01:28:30.920 dangerous to
01:28:31.400 be doing
01:28:31.680 that,
01:28:31.940 right?
01:28:32.280 Yes.
01:28:32.840 To take
01:28:33.160 animal viruses
01:28:33.880 and make
01:28:34.280 them...
01:28:34.520 You can't
01:28:34.840 control it.
01:28:36.180 Because you've
01:28:36.980 done affinity
01:28:38.300 maturation that
01:28:39.140 would have
01:28:39.660 taken tens
01:28:42.180 of maybe
01:28:42.940 millions of
01:28:43.480 years.
01:28:45.340 In that
01:28:45.940 fusion protein,
01:28:46.940 they created
01:28:47.340 this fusion
01:28:47.800 protein and
01:28:48.360 created...
01:28:48.720 And then they
01:28:49.700 created this
01:28:50.140 vaccine.
01:28:51.100 I think
01:28:51.500 Bonnie Graham
01:28:52.360 was the part
01:28:53.560 with Collins
01:28:54.060 and everything
01:28:54.520 else that
01:28:55.400 was so proud
01:28:56.060 to create
01:28:57.060 this RBD
01:28:57.740 and make
01:28:58.060 it stable.
01:28:59.260 Think about
01:28:59.900 it.
01:29:00.840 The spearhead,
01:29:01.640 the tip of
01:29:02.040 the spear that
01:29:02.580 goes into
01:29:02.980 your cell,
01:29:03.340 we're going
01:29:03.540 to make
01:29:03.760 it stable.
01:29:04.520 That's why
01:29:06.420 this vaccine
01:29:06.960 was pre-produced.
01:29:08.140 This was the
01:29:08.560 mRNA vaccine
01:29:09.360 was produced.
01:29:12.340 So you've
01:29:13.260 taken a
01:29:14.620 virus that
01:29:16.940 has now
01:29:17.340 gone from
01:29:17.960 bats to
01:29:18.480 man only
01:29:19.180 because I
01:29:20.440 think this
01:29:20.820 can't function
01:29:21.360 work.
01:29:22.660 You then
01:29:23.100 create a
01:29:23.600 vaccine by
01:29:24.220 taking the
01:29:24.780 spearhead of
01:29:25.380 this virus
01:29:25.940 that is now
01:29:27.080 being created
01:29:28.420 to get into
01:29:29.500 you and
01:29:30.720 make the
01:29:31.100 spearhead even
01:29:31.740 more stable
01:29:32.280 and put it
01:29:33.120 on the
01:29:33.300 vaccine and
01:29:33.800 says,
01:29:34.060 here we go.
01:29:34.520 This seems
01:29:35.180 super crazy.
01:29:35.860 So just
01:29:36.240 from the
01:29:37.120 perspective
01:29:37.740 of a
01:29:38.320 layman
01:29:39.080 again,
01:29:40.140 if I've
01:29:40.560 never had
01:29:41.000 COVID
01:29:41.300 and I
01:29:42.780 get the
01:29:43.980 Pfizer
01:29:46.000 vaccine,
01:29:46.580 mRNA
01:29:46.940 vaccine,
01:29:48.420 if I got
01:29:49.060 it three
01:29:49.440 years ago,
01:29:49.960 can you
01:29:50.240 detect
01:29:50.500 COVID in
01:29:50.920 my body
01:29:51.280 now?
01:29:53.140 Possibly.
01:29:54.260 See,
01:29:54.780 that's just
01:29:55.820 crazy town.
01:29:56.500 Look,
01:29:56.720 I know
01:29:57.160 I won't
01:29:59.480 name her,
01:30:01.280 but she
01:30:02.140 was a
01:30:04.660 very senior
01:30:05.060 person at
01:30:05.540 the FDA
01:30:06.020 and she
01:30:07.860 just got
01:30:08.200 the vaccine,
01:30:08.700 that's it.
01:30:09.480 And within
01:30:09.920 weeks,
01:30:11.100 she got
01:30:11.600 brain fog,
01:30:13.260 loss of
01:30:13.660 memory.
01:30:13.940 So there's
01:30:17.100 clear evidence
01:30:17.980 that sometimes
01:30:20.660 the vaccine
01:30:21.220 is the
01:30:22.260 cause,
01:30:22.540 and sometimes
01:30:22.840 the virus
01:30:23.740 is the
01:30:24.100 cause.
01:30:24.340 So that's
01:30:24.660 what I'm
01:30:24.820 saying.
01:30:25.220 It's not
01:30:26.140 mutually exclusive.
01:30:27.660 I understand.
01:30:28.620 But it's all
01:30:29.780 about the
01:30:30.140 spike.
01:30:31.320 But the
01:30:32.280 idea that
01:30:33.080 you would
01:30:33.460 be introducing
01:30:34.800 the COVID
01:30:35.660 virus into
01:30:36.820 a body that
01:30:37.680 was not
01:30:37.980 infected by
01:30:38.620 the COVID
01:30:38.980 virus is
01:30:39.580 like...
01:30:40.400 You went
01:30:41.440 after the
01:30:41.800 wrong protein,
01:30:42.840 basically.
01:30:43.960 I've been
01:30:44.580 begging them
01:30:45.220 to go after
01:30:45.740 the nucleocapsid
01:30:46.580 protein because
01:30:47.340 the nucleocapsid
01:30:48.180 protein,
01:30:48.540 which is in
01:30:48.840 the core
01:30:49.320 of the virus,
01:30:51.460 is not the
01:30:52.160 tip of the
01:30:52.680 spear.
01:30:53.180 And if you
01:30:53.820 have a T-cell,
01:30:54.600 it lasts for
01:30:55.200 17 years.
01:30:56.060 We know that
01:30:56.520 from previous
01:30:57.080 COVID infections.
01:30:58.880 Yes.
01:30:59.860 But they
01:31:00.220 refuse to do
01:31:00.840 it.
01:31:02.400 This seems
01:31:03.120 like a human
01:31:03.940 tragedy at
01:31:04.820 like an
01:31:05.420 unimaginable
01:31:06.140 scale.
01:31:06.840 Completely.
01:31:07.300 It devastates
01:31:08.200 me.
01:31:11.520 Well,
01:31:12.000 that's
01:31:12.220 incredibly
01:31:12.700 bracing.
01:31:13.800 And I
01:31:14.540 think you're
01:31:14.980 one of the
01:31:15.380 very few
01:31:15.860 people I've
01:31:16.280 ever met
01:31:16.620 who has
01:31:16.980 the absolute
01:31:17.520 authority to
01:31:18.040 speak on
01:31:18.360 this.
01:31:19.640 And yet
01:31:20.360 you've
01:31:21.520 not been
01:31:23.280 encouraged to
01:31:23.680 speak about
01:31:24.060 it, it
01:31:24.300 sounds like.
01:31:25.780 I've not
01:31:26.140 been what?
01:31:26.540 Encouraged
01:31:27.360 to speak
01:31:28.020 about it.
01:31:29.620 Yeah,
01:31:30.000 because I'm
01:31:31.820 not a
01:31:32.100 political
01:31:32.380 person and
01:31:34.120 I have this
01:31:34.540 bigger picture
01:31:35.140 that we
01:31:36.040 have to
01:31:36.720 find a
01:31:37.520 solution,
01:31:38.480 not just
01:31:38.760 for COVID,
01:31:39.220 but for
01:31:39.540 cancer.
01:31:40.600 And the
01:31:41.320 irony is this
01:31:42.160 BioShield works
01:31:42.840 for both.
01:31:44.900 And the
01:31:45.140 only chance...
01:31:45.880 Because they're
01:31:46.060 connected, it
01:31:46.680 sounds like.
01:31:47.320 Completely
01:31:47.880 connected.
01:31:48.640 And the
01:31:49.020 only chance
01:31:49.840 we have
01:31:50.520 now, because
01:31:52.940 I had no
01:31:54.180 idea that the
01:31:54.980 political deep
01:31:55.860 state was so
01:31:56.620 powerful and
01:31:58.540 so vicious and
01:32:01.000 so egotistical
01:32:02.700 that they
01:32:04.520 would stop
01:32:05.580 good science.
01:32:07.760 so now I'm
01:32:11.740 out there
01:32:12.580 speaking because
01:32:13.640 the drug got
01:32:14.100 approved.
01:32:15.820 But that's not
01:32:16.720 enough just for
01:32:17.400 bladder cancer.
01:32:18.220 It has the
01:32:18.960 same treatment
01:32:19.900 effect for
01:32:20.520 pancreatic
01:32:21.560 cancer, lung
01:32:22.180 cancer, triple
01:32:22.780 negative breast
01:32:23.340 cancer.
01:32:24.240 It is the
01:32:24.960 only molecule
01:32:25.700 for 50
01:32:27.080 years that
01:32:28.480 upregulates
01:32:29.240 these killer
01:32:29.760 cells, period,
01:32:30.660 the missing
01:32:31.000 link.
01:32:31.840 Well, you
01:32:32.060 never got COVID,
01:32:33.160 so that's...
01:32:33.720 You really
01:32:33.960 never got COVID?
01:32:34.580 Never got COVID.
01:32:35.040 How many
01:32:36.460 people do
01:32:36.700 you know
01:32:36.860 who didn't
01:32:37.220 get COVID?
01:32:39.280 The President
01:32:39.880 of the United
01:32:40.100 States got
01:32:40.480 COVID like
01:32:40.960 four times.
01:32:41.640 So if you
01:32:42.280 did get
01:32:42.700 COVID, there's
01:32:44.120 three antigens
01:32:45.400 in the
01:32:45.860 virus.
01:32:46.720 There's a
01:32:47.120 spike, there's
01:32:48.340 a nucleic
01:32:48.820 capsid, and
01:32:49.300 there's a
01:32:49.520 thing called
01:32:49.820 the M
01:32:51.460 protein, M.
01:32:54.460 And if you
01:32:54.860 have, when you
01:32:55.740 do your blood
01:32:56.200 test, you can
01:32:57.280 see if you
01:32:57.900 have the M
01:32:58.400 protein.
01:32:59.000 If you have
01:32:59.600 the M
01:33:00.000 protein in
01:33:01.520 your antibody
01:33:03.120 or T-cell
01:33:04.240 antibody to
01:33:05.600 the M
01:33:05.860 protein, that
01:33:06.520 means it
01:33:06.880 came from
01:33:07.260 the virus.
01:33:09.720 If you
01:33:10.240 have no
01:33:10.600 M
01:33:10.820 protein, it
01:33:12.600 came from
01:33:12.940 somewhere else.
01:33:14.080 It could
01:33:14.300 come from
01:33:14.640 the vaccine.
01:33:16.320 I have
01:33:17.040 no M
01:33:18.520 protein, and
01:33:19.640 I have T-cells
01:33:20.520 to N, and
01:33:22.060 I have T-cells
01:33:22.720 to S.
01:33:24.020 So you
01:33:24.360 could basically
01:33:24.780 lick a
01:33:25.140 park bench
01:33:25.660 and not
01:33:26.000 get sick.
01:33:27.480 No, it
01:33:28.300 doesn't,
01:33:28.740 exactly.
01:33:29.220 So now you
01:33:29.760 need to
01:33:30.080 differentiate and
01:33:30.880 not conflate
01:33:31.520 the ability
01:33:32.520 of the virus
01:33:33.020 to infect.
01:33:33.480 It could
01:33:34.340 still infect
01:33:34.800 me, but
01:33:36.540 my body
01:33:36.980 has the
01:33:37.360 protection, the
01:33:38.160 bioshield, to
01:33:39.060 clear it
01:33:39.540 immediately, within
01:33:41.520 seven days.
01:33:43.420 Clear it.
01:33:44.220 Is this a
01:33:44.740 lifelong protection?
01:33:46.060 Well, based
01:33:47.200 on the science
01:33:48.120 of the, what
01:33:49.520 they call MERS
01:33:50.200 one, where it
01:33:50.960 was in 17
01:33:52.200 years, is
01:33:52.900 protection.
01:33:53.920 That was the
01:33:54.400 original coronavirus
01:33:55.160 outbreak.
01:33:55.760 Correct.
01:33:56.140 17 years, this
01:33:57.040 nuclear T-cells is
01:33:58.360 out there.
01:33:59.860 So, we'll...
01:34:01.540 I'll take that.
01:34:02.160 I'll take 17
01:34:02.680 years.
01:34:02.800 Exactly.
01:34:04.060 And you can
01:34:04.640 get a booster.
01:34:06.540 Now, what we're
01:34:07.340 working on is a
01:34:07.940 universal COVID
01:34:08.660 virus vaccine for
01:34:09.940 all coronaviruses
01:34:11.160 because it's in.
01:34:12.760 So, what we did...
01:34:13.820 Oh, that's a
01:34:14.820 good segue to
01:34:16.240 that.
01:34:17.080 So, during my
01:34:17.820 genomic sequencing,
01:34:18.600 I was building the
01:34:19.260 whole machine
01:34:19.740 learning supercomputing
01:34:20.900 network, and I ran
01:34:21.740 the national lambda
01:34:22.480 rail for the
01:34:23.020 God's particle, and
01:34:23.820 I built supercomputers
01:34:24.880 and AI, way
01:34:26.440 before AI was, and
01:34:28.260 I presented the AI
01:34:29.200 model to President
01:34:30.120 Obama, believe it
01:34:30.940 not in the one
01:34:31.520 pager for
01:34:32.400 healthcare.
01:34:34.180 So, our
01:34:34.960 supercomputer, we
01:34:35.920 combined ourselves
01:34:36.820 with Microsoft, so
01:34:37.940 with it, we had the
01:34:38.600 largest GPU cloud
01:34:39.780 during COVID.
01:34:41.260 And we're able then
01:34:42.680 to actually look at
01:34:43.980 the infectivity of
01:34:45.500 every species,
01:34:47.280 every variant of
01:34:49.060 COVID with every
01:34:50.380 human type.
01:34:51.160 There's a thing
01:34:51.580 called HLA, so that
01:34:53.320 we could actually
01:34:53.880 look at how the
01:34:55.200 virus would change
01:34:55.960 and avoid the
01:34:56.720 T cells.
01:34:58.840 The only thing
01:34:59.440 that it could
01:35:00.480 never do was
01:35:01.460 change the
01:35:02.000 nucleocapsid and
01:35:02.860 never could avoid
01:35:03.620 the T cells.
01:35:04.400 We made that
01:35:05.260 software public, it
01:35:06.300 is still public, and
01:35:07.560 published it, so
01:35:08.840 that anybody could
01:35:09.700 test.
01:35:11.700 Based on your
01:35:12.560 HLA, your HLA, and
01:35:13.740 my HLA type would
01:35:14.640 be slightly
01:35:15.260 different.
01:35:16.420 There's hundreds
01:35:16.920 and thousands of
01:35:18.160 HLA types.
01:35:19.040 And know whether
01:35:22.120 this sequence, if
01:35:25.460 you had that
01:35:25.920 sequence in your
01:35:26.540 body, would be
01:35:27.080 protective.
01:35:28.740 Through that, we
01:35:30.100 are developing what
01:35:30.920 we call a universal
01:35:31.920 COVID vaccine,
01:35:34.340 BioShield T cell
01:35:35.580 vaccine, and we
01:35:36.660 have it.
01:35:38.400 But how do we do
01:35:39.340 it?
01:35:39.760 You know, so one
01:35:41.460 of my thoughts was
01:35:43.000 just to give it
01:35:43.620 away to somebody.
01:35:45.580 I actually offered
01:35:46.580 to give it away to
01:35:47.480 Regeneron and to
01:35:48.440 Amgen.
01:35:49.040 way back, but
01:35:51.360 they were too
01:35:51.740 busy.
01:35:52.240 Everybody was too
01:35:52.960 busy during the
01:35:53.740 COVID time.
01:35:55.280 So one of the
01:35:56.480 ideas now was for
01:35:57.580 me to actually go
01:35:58.680 to the Serum
01:35:59.400 Institute in India
01:36:00.320 and say, yeah,
01:36:00.960 please go build
01:36:02.040 us and make us
01:36:03.120 available to the
01:36:03.780 world.
01:36:05.380 So, you know,
01:36:07.360 there's just so
01:36:07.840 much we could do
01:36:08.660 as an organization.
01:36:09.780 We're a tiny little
01:36:10.440 biotech company
01:36:11.360 relative to the
01:36:13.960 Merck and the
01:36:14.420 Pfizer's.
01:36:15.340 But that's what my
01:36:16.260 goal is.
01:36:16.800 My personal goal
01:36:17.620 is when you say
01:36:18.640 I'm still
01:36:19.020 doing it and I
01:36:19.520 don't have a
01:36:19.980 vineyard, the
01:36:22.320 resources that
01:36:24.240 was given to
01:36:24.900 me, it was
01:36:25.500 like God's
01:36:26.040 gift, I
01:36:26.700 believe, that
01:36:28.260 allowed me to
01:36:28.800 do this.
01:36:29.340 So, you know,
01:36:29.920 we have hundreds
01:36:30.500 of employees,
01:36:31.340 I have 40
01:36:31.680 acres of land
01:36:32.560 in Los
01:36:33.340 Angeles.
01:36:33.700 doctors, the
01:36:35.600 other tragedy was I
01:36:38.140 took over this
01:36:39.020 facility in Dunkirk
01:36:40.240 that New York
01:36:42.440 State had put
01:36:43.020 $200 million
01:36:43.680 in, completely
01:36:45.120 empty, brand
01:36:46.080 new, amazing
01:36:47.120 facility for
01:36:47.840 national preparedness
01:36:48.580 business, and I
01:36:49.740 called Chuck Schumer
01:36:50.840 to help me make
01:36:52.560 that available for
01:36:53.360 the country.
01:36:54.920 Nothing.
01:36:56.220 It's still sitting
01:36:57.160 there, available
01:36:58.360 for the country
01:36:59.640 as a national
01:37:00.860 preparedness
01:37:01.420 manufacturing site
01:37:02.580 in Dunkirk, New
01:37:03.660 York, for which we
01:37:05.120 put $50 million
01:37:05.900 in, but there's no
01:37:07.840 employees in there
01:37:08.640 right now.
01:37:09.740 Nothing.
01:37:10.480 That's crazy.
01:37:11.520 It is really
01:37:12.120 ridiculous, right,
01:37:13.440 without leadership,
01:37:15.520 without skill sets
01:37:16.940 in leadership, and
01:37:17.960 without informed
01:37:18.940 leadership, how we
01:37:21.920 as a country could
01:37:22.640 go down the wrong
01:37:23.280 path, and I'm so
01:37:24.260 hopeful that these
01:37:26.260 next four years
01:37:27.180 could change that.
01:37:28.380 So this has been
01:37:29.140 an amazing story.
01:37:29.980 You're obviously
01:37:30.480 very famous in the
01:37:33.700 medical research
01:37:34.380 world and
01:37:36.340 controversial, but
01:37:37.380 I'm sold on what
01:37:38.660 you said.
01:37:38.980 So everything
01:37:40.520 that you've done
01:37:41.500 is, you know,
01:37:43.460 you'll have a great
01:37:44.100 obit because of it.
01:37:45.800 Then you decide to
01:37:46.780 buy the LA Times
01:37:47.480 in 2018-ish.
01:37:50.540 And, you know,
01:37:51.500 owning the main
01:37:53.220 newspaper in the
01:37:54.080 country's second
01:37:54.780 biggest town makes
01:37:55.860 you obviously a
01:37:57.000 media mogul, but it
01:37:57.860 makes you a political
01:37:58.580 figure as well.
01:38:00.240 And LA is so
01:38:01.040 complicated.
01:38:01.500 Like, why would
01:38:01.840 you do that?
01:38:02.680 You don't need
01:38:03.520 that.
01:38:03.780 Why would you do
01:38:04.400 that?
01:38:05.340 Well, I think it
01:38:06.260 really helps to know
01:38:07.660 how I grew up,
01:38:08.680 right?
01:38:09.000 So I grew up in
01:38:09.780 South Africa as
01:38:10.460 apartheid.
01:38:12.500 I, because South
01:38:13.560 Africa didn't have,
01:38:14.480 I did not see a TV
01:38:15.560 until the age of 21,
01:38:17.540 believe it or not.
01:38:18.160 No TV?
01:38:18.760 No TV.
01:38:19.320 South Africa didn't
01:38:19.980 have TV.
01:38:20.940 So not that I
01:38:21.440 didn't watch TV.
01:38:22.320 Period.
01:38:22.960 So it was just
01:38:23.920 books and newspapers.
01:38:25.720 That was the only
01:38:26.560 way I got educated,
01:38:27.700 books and newspapers.
01:38:28.500 to the extent that I
01:38:30.980 would go every day
01:38:32.080 as a newspaper boy
01:38:34.320 to the printing press
01:38:35.280 in Port Elizabeth,
01:38:36.540 sit at the printing
01:38:37.400 press, get the first
01:38:38.740 one off the press,
01:38:39.640 read it, and then
01:38:40.900 run with about two,
01:38:42.180 three hundred papers
01:38:42.880 throughout the city.
01:38:43.600 That would be what I
01:38:45.180 did and grew up.
01:38:46.540 So I fell in love with
01:38:48.100 the printing press,
01:38:48.820 the clicky clack and
01:38:49.660 the oil and the smell.
01:38:51.020 And when the
01:38:53.280 opportunity came,
01:38:54.640 remember as I said,
01:38:55.480 I had this amazing
01:38:57.200 gift of the resources
01:39:00.340 of selling these two
01:39:01.440 companies that I never
01:39:03.000 anticipated in life.
01:39:05.780 With Michael Farrow
01:39:07.060 saying he took over
01:39:08.780 this company called
01:39:10.240 and then named it
01:39:10.960 Trunk and he was
01:39:12.820 going to shut down
01:39:14.460 the Washington Bureau
01:39:15.700 and move all the...
01:39:17.140 So he owned the LA Times?
01:39:18.160 He owned the Tribune
01:39:20.040 actually, the whole thing.
01:39:21.020 Yeah, at that point,
01:39:21.860 yeah.
01:39:22.280 Chicago Tribune,
01:39:23.140 the Tribune company.
01:39:24.060 The whole Tribune
01:39:24.660 company, which included
01:39:25.460 LA Times and San
01:39:26.520 Diego Tribune.
01:39:28.160 And he knew how
01:39:29.260 desperately I wanted
01:39:30.360 the LA Times because
01:39:32.540 I had helped him
01:39:33.580 invest to buy the
01:39:35.620 rest of the Tribune.
01:39:36.440 So I was a minority
01:39:37.220 shoulder in that.
01:39:38.900 And he came to me
01:39:39.580 and said, hey,
01:39:39.940 Patrick, you want it?
01:39:41.920 Here's the price.
01:39:42.860 You've got 48 hours
01:39:44.020 to decide and it's
01:39:45.540 $500 million, no
01:39:46.740 due diligence.
01:39:48.320 No due diligence?
01:39:49.460 That's what's it.
01:39:52.000 Who would take that deal?
01:39:53.520 Only crazy people.
01:39:56.780 It's half a billion dollars
01:39:58.160 and you can't see the books.
01:40:00.240 Yeah.
01:40:00.780 Nor can you go visit
01:40:01.740 the newsroom.
01:40:02.440 Because on Monday,
01:40:06.700 we're going to actually
01:40:07.540 shut all that and
01:40:08.440 move them all out and
01:40:09.400 I don't want you to
01:40:10.160 talk to these people
01:40:10.920 and you have until
01:40:12.320 Monday to decide.
01:40:13.940 And I was running a
01:40:15.080 conference in LA
01:40:16.100 with all my scientists
01:40:17.840 and the National
01:40:18.640 Cancer Institute and
01:40:19.500 all the scientists
01:40:20.060 were there at this
01:40:21.220 hotel.
01:40:21.700 And I said, oh my God.
01:40:22.700 So I went upstairs and
01:40:23.700 we got a private room
01:40:24.540 and I brought all the
01:40:25.220 people into the room
01:40:26.200 and I said, I want
01:40:30.440 to do it.
01:40:30.780 And I called my wife.
01:40:31.540 I said, we want to do
01:40:32.300 this.
01:40:32.700 I think this is an
01:40:33.520 opportunity for us to
01:40:34.620 have a voice for the
01:40:37.460 people, especially if
01:40:38.880 they're going to shut
01:40:39.300 down Washington,
01:40:40.060 they're going to shut
01:40:40.420 down LA.
01:40:40.880 We'll never have a
01:40:41.540 paper here.
01:40:42.060 This is one of the
01:40:42.840 most important things.
01:40:45.100 So by Monday, I signed
01:40:46.380 it and that was it.
01:40:48.760 And you paid him
01:40:49.400 $500 million?
01:40:50.260 $500 million.
01:40:51.600 How grateful was he?
01:40:53.420 Very.
01:40:56.340 I'm sorry to laugh, but
01:40:57.700 if you hadn't made so
01:40:58.760 much money, I wouldn't
01:40:59.380 be laughing because it
01:41:00.160 would be mean, but
01:41:00.800 that's incredible.
01:41:02.760 So Phil Anschutz saw me.
01:41:04.460 I've got some stuff I
01:41:04.980 like to sell you.
01:41:05.700 Is that?
01:41:08.780 So Phil Anschutz saw me
01:41:10.380 at the next Laker game.
01:41:11.760 He says, you know,
01:41:12.220 Patrick, I always thought
01:41:13.140 you were such a smart
01:41:13.920 guy until yesterday.
01:41:17.620 But you know, I have no
01:41:18.540 regrets.
01:41:19.180 I think what I did,
01:41:20.680 then, was said, okay,
01:41:22.580 I'm going to take
01:41:23.500 everything I know in
01:41:24.280 healthcare, that rocket
01:41:25.340 ship that I showed you,
01:41:27.120 and then create, because
01:41:29.980 during that time, Bezos
01:41:30.960 would have this ARC, he'd
01:41:32.360 had the software, and he
01:41:33.300 had the Washington Post,
01:41:34.700 and his team came to see
01:41:36.880 me and said, listen, we've
01:41:38.620 got this ARC software that
01:41:40.500 we want to run.
01:41:41.620 I said, no, I don't like
01:41:43.080 this old software.
01:41:44.160 I'm going to go build a
01:41:45.100 completely new software
01:41:46.260 content management system
01:41:47.980 that could take podcasts,
01:41:49.240 video, live streaming,
01:41:50.680 because I want this
01:41:53.200 newspaper to be an
01:41:54.100 educational moment for
01:41:55.300 people, and at the end
01:41:57.040 of the day, a newspaper is
01:41:58.040 not just a newspaper, it's
01:41:59.420 a basis of engagement.
01:42:01.700 I want to engage users as a
01:42:03.620 tool to engage with people,
01:42:05.680 because that's how I grew
01:42:07.120 up.
01:42:09.360 So we took the risk, and we
01:42:11.240 built this content management
01:42:12.300 system, took us five years,
01:42:13.960 and we launched it, which
01:42:15.220 could talk to the printing
01:42:16.680 press, and it could talk to
01:42:17.960 magazines, it could talk to
01:42:19.140 podcasts, it could talk to
01:42:20.040 video, it could talk to
01:42:20.700 live streaming, and now it's
01:42:23.200 just gone live.
01:42:24.300 It's called LA Times Studio
01:42:25.380 and LA Times Live, and the
01:42:27.620 next thing we're going to do
01:42:28.420 is call LA Times Next.
01:42:30.320 And the LA Times Next, a
01:42:33.340 gentleman called Eric Beach
01:42:34.380 and I are forming so that we
01:42:36.740 could create a platform that
01:42:39.920 would allow voices to be heard
01:42:42.140 and free speech to be heard
01:42:44.280 unencumbered by either opinion
01:42:47.640 or news.
01:42:48.760 So now we have three platforms.
01:42:50.540 We have a platform of news,
01:42:52.020 which supposedly is facts.
01:42:54.360 We have a platform of opinion,
01:42:56.280 which I've now changed to
01:42:57.240 voices, meaning everybody
01:42:59.100 should have a voice, whether
01:43:00.280 you're right voice, left voice,
01:43:01.520 central voice, do you like
01:43:03.060 Coca-Cola, Pepsi-Cola, whatever
01:43:04.900 voice.
01:43:05.400 And then a complete platform
01:43:10.080 that allows free speech and
01:43:13.660 video, podcast.
01:43:17.020 And now I have that platform.
01:43:19.440 And we've built the
01:43:20.540 infrastructure to accommodate
01:43:21.660 that platform.
01:43:23.440 And I'm excited by LA Times Next
01:43:25.500 because we're going to have a
01:43:26.320 studio in DC, we have a studio in
01:43:29.220 LA, we may have even a studio in
01:43:30.620 Nashville.
01:43:30.920 And shows like this are important
01:43:35.940 because I believe long forms like
01:43:38.400 this is how you communicate for
01:43:40.920 people who are interested.
01:43:43.280 And it could be fun.
01:43:44.500 It should be engaging.
01:43:45.700 It should be interesting.
01:43:47.540 And that's why I bought the paper.
01:43:49.940 Well, those are great reasons as
01:43:51.920 far as I'm concerned, but they come
01:43:54.120 with them.
01:43:54.940 The purchase comes with it.
01:43:56.620 A lot of people who work at the
01:43:59.140 paper, I've worked in newsrooms
01:44:01.800 my whole life, and I know that
01:44:03.940 they hate change.
01:44:05.020 They hate the owner, no matter
01:44:06.500 what.
01:44:07.040 Everybody hates the owner, just on
01:44:08.080 principle.
01:44:09.720 There are a ton of unhappy people
01:44:11.400 in journalism.
01:44:11.860 I would say the overwhelming
01:44:12.780 majority are just, for whatever
01:44:14.000 reason, we could speculate.
01:44:15.800 And they're very hard to manage.
01:44:18.100 And they're roughly about 100 or
01:44:20.980 maybe even more percent left wing
01:44:23.980 everywhere, including at, you
01:44:26.840 know, supposedly conservative
01:44:27.640 places that are all lefties.
01:44:29.160 So how do you deal with that?
01:44:31.740 By being honest and transparent
01:44:33.440 head on.
01:44:34.400 And I openly shared with them, I
01:44:36.560 said, listen, we cannot be an
01:44:37.660 echo chamber.
01:44:38.220 I won't tolerate it.
01:44:40.060 It's okay if you're left wing, but
01:44:42.040 you need right wing.
01:44:43.160 So I offered Scott Jennings an
01:44:44.980 opportunity to write on the paper.
01:44:49.080 And I said, we need all voices.
01:44:52.160 And so I said, listen, I don't know
01:44:55.800 who made these rules because I came
01:44:57.280 into this newspaper.
01:44:57.920 I don't know the difference between
01:44:59.620 a columnist and op-ed or editorial
01:45:01.560 page and news.
01:45:04.120 And now when you're merging all of
01:45:05.740 these, can you imagine the lay
01:45:07.400 person not really understanding the
01:45:09.340 difference?
01:45:09.800 That's right.
01:45:10.140 And I want you to say, news is news
01:45:12.640 and you're the newsroom, fine.
01:45:15.400 Theoretically, everything's edited.
01:45:17.960 You've checked it.
01:45:18.740 You fact-checked it.
01:45:19.980 But when it comes to an opinion, I want to
01:45:23.000 change that to be voices.
01:45:24.440 And I want all voices to be heard, all
01:45:28.740 American voices to be heard.
01:45:30.840 And, you know, the Kamala Harris
01:45:32.360 endorsement, I took a lot of heat because
01:45:36.080 the editorial board resigned by my
01:45:38.780 taking a stand that we cannot be an echo
01:45:40.700 chamber of opinions not based on facts.
01:45:44.040 So just for those who didn't follow it, and
01:45:46.720 it was quite a story, for a couple days
01:45:49.200 there, it was during the campaign, the
01:45:51.800 editorial board, correct me if I'm wrong,
01:45:53.640 wanted to endorse Kamala Harris.
01:45:56.560 And you said no.
01:45:57.780 What did they say to you?
01:45:59.680 And what did you say back to them?
01:46:01.200 Well, I can't put in.
01:46:06.480 Oh, come on.
01:46:07.660 You've gone pretty far already.
01:46:10.100 I can just say they were not happy.
01:46:12.960 But what was their pitch?
01:46:14.660 So the pitch was, we as a board have met
01:46:18.640 and we have this prepackage.
01:46:20.000 We know this is outrageous, blah, blah, blah.
01:46:23.160 This prepackage, what does that mean?
01:46:24.720 We had a prepackage endorsement.
01:46:26.820 What do you mean prepackage?
01:46:27.600 They'd already written it?
01:46:28.100 They'd already written it.
01:46:29.160 After talking to Kamala Harris?
01:46:30.380 Never having met her.
01:46:32.040 They'd never met Kamala Harris?
01:46:33.040 Never met her.
01:46:33.680 Isn't the editorial board supposed to
01:46:34.800 interview the candidates?
01:46:36.160 By the way, the editorial board never met even.
01:46:38.320 I'm on the editorial board.
01:46:41.060 So I said, I'm on the editorial board.
01:46:42.760 Kamala Harris was in LA all the time.
01:46:45.040 Correct.
01:46:46.800 In your neighborhood, actually.
01:46:48.460 Correct.
01:46:48.680 Raising money.
01:46:49.440 Raising money, keeping the traffic in
01:46:51.140 trouble, raising money.
01:46:53.760 And that's, and I'd never met her.
01:46:56.580 And nor did the board even met her.
01:46:59.240 And I said, this is unacceptable.
01:47:01.420 And they know they're, as you could see, because it's a left-leaning, they wrote terrible stories
01:47:06.480 about President Trump, which is-
01:47:09.300 Had they met him?
01:47:10.220 Not met him either.
01:47:11.180 So my statement to them was, listen, you may have an opinion, but all of us should have
01:47:16.680 opinion based on facts.
01:47:18.700 I mean, one of the statements that came, and I won't name him, came from a person that said,
01:47:25.280 within this concept, that Vice President Kamala Harris was the most consequential Vice President
01:47:31.960 in the history of the United States.
01:47:34.480 So I said-
01:47:35.420 No, I shouldn't lie.
01:47:36.300 I don't mean to be dismissive.
01:47:38.180 On what basis did the person say that?
01:47:40.700 Having never met her, anyone, so now exactly, you just hit it on the head.
01:47:45.060 And I said, on what basis do we say that?
01:47:47.640 What are the facts?
01:47:49.240 Can we actually show the record of that?
01:47:52.780 So I said, you know, it boiled down to, look, we're not going to do that.
01:47:56.140 We're just not going to do it.
01:47:57.400 What did the person say when you asked?
01:48:00.280 Nothing.
01:48:00.620 On why are you saying she's the most consequential Vice President of the United States?
01:48:03.420 Like, what are the facts that underlie that judgment?
01:48:09.160 I obviously had disagreed with that person, and there had no basis for that, other than,
01:48:14.800 you know, as you said, a personal echo chamber, you know?
01:48:17.360 And look, I think, I don't know what they're trying to protect.
01:48:22.580 They're trying to, if I'm trying to find, I'm trying to find the kernel of basis, the
01:48:30.040 audience, because the audience is left, so they need to be left.
01:48:32.820 I don't think that's right.
01:48:34.020 I think, meaning our audience, we lost a lot of viewers, right?
01:48:37.700 I mean, thousands of people unsubscribed.
01:48:41.920 But I don't think it's right that we should be this cancelling society.
01:48:46.860 I think we should be a society that can have a civil discourse, like we're having now,
01:48:50.800 and disagree, it's okay, and understand each other's point of view.
01:48:55.260 That's what I think is the value of the paper when you talk about voices.
01:48:58.900 So that's what I'm instigating now.
01:49:01.460 And so I've taken the opportunity...
01:49:03.920 Let's go back to the Kamala thing really quick.
01:49:05.720 So they were shocked that you cancelled that?
01:49:09.200 They were worse than shocked.
01:49:10.080 They resigned.
01:49:11.120 They resigned.
01:49:11.700 So I had three...
01:49:12.860 Right now, 90% of my editorial voice resigned.
01:49:16.860 So where did they go?
01:49:18.440 Because there are no editorial writing jobs left in the middle.
01:49:20.920 I have no idea.
01:49:22.740 Oh.
01:49:23.580 So, look, I think it's important...
01:49:27.820 Look, the fact that I had the courage to resign, some of them.
01:49:32.740 Now, Kevin Murad, I fired.
01:49:34.460 I fired Kevin before they resigned.
01:49:37.280 Why did you fire him?
01:49:38.100 One, because of leadership.
01:49:42.360 Two, because of...
01:49:45.420 I've got to be careful.
01:49:47.260 I don't want to disparage him.
01:49:48.480 I fired him because I didn't believe he was the right person or taking the paper where it needs to be.
01:49:56.180 He was formally at the Washington Post.
01:49:57.640 Washington Post, yeah.
01:49:58.600 I remember that well.
01:49:59.500 And then, after that episode, the editorial board, the rest of them resigned.
01:50:08.260 And now we're rebuilding.
01:50:09.600 Look, we have to...
01:50:10.900 We have to...
01:50:11.940 And what's exciting to me is I'm rebuilding with young people.
01:50:14.180 And what's exciting to me is this opportunity with LA Times Next and LA Times Studio and in the newsroom.
01:50:22.540 Terry Tang is doing a fantastic job.
01:50:24.320 She's working hard to take on the people and the productivity.
01:50:31.000 The productivity?
01:50:32.620 Well, increasing productivity.
01:50:34.900 Oh, you're employing journalists?
01:50:38.460 Okay, so that's a world I understand.
01:50:40.480 Yes, there are some productivity issues there.
01:50:42.520 Yeah, yeah, yeah, yeah.
01:50:43.280 So, when you write one slug a month, I think that's not going to be good.
01:50:47.360 Been there.
01:50:48.400 Been there.
01:50:50.240 Yeah.
01:50:50.560 So, it's been an experience.
01:50:53.680 But, look, we're there in for the long haul, I think.
01:50:57.500 And, look, it's just not us, by the way.
01:51:00.080 We've got to save these local newspapers.
01:51:02.080 I agree.
01:51:02.540 Right?
01:51:02.900 We've got to save the ability to have local discos.
01:51:05.720 Now, with the LA Fires, it's even more important, right?
01:51:08.660 Look, I called out Karen Bass and Gavin Newsom.
01:51:11.520 And these politicians...
01:51:14.240 You know them both.
01:51:15.060 I know them both.
01:51:15.980 I text with them both.
01:51:16.960 And I complain to them both.
01:51:19.280 And what I tell the public is what I tell them.
01:51:21.740 So, I don't say anything behind their back.
01:51:24.520 I personally say, I said, you're not doing the right thing.
01:51:28.360 Whether it be the homelessness.
01:51:29.660 The homelessness, they did a terrible job.
01:51:31.840 Yes.
01:51:32.080 A completely wasteful job.
01:51:34.800 So, these are the kinds of things that I think it gave us the opportunity to have a say in our community.
01:51:42.740 You know, and that's what I'll continue to do.
01:51:45.020 Now, we'll position ourselves in D.C.
01:51:47.420 And I think the next four years will be really, I hope, monumental.
01:51:51.820 Doctor, thank you for spending all this time.
01:51:54.860 All right.
01:51:55.260 I really appreciate it.
01:51:55.900 This has been fun and a pleasure.
01:51:57.460 Thank you.
01:51:58.100 Thank you.
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