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07.20.20 Nothing is as it seems with COVID, July 20, 2020 [861603244].vtt
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WEBVTT
00:00:00.000 --> 00:00:11.080
Nothing is more expensive than bad information.
00:00:11.080 --> 00:00:12.840
Know the source.
00:00:12.840 --> 00:00:14.520
One Radio Network dot com.
00:00:14.520 --> 00:00:16.280
Okay, sorry for our little bit late start.
00:00:16.280 --> 00:00:22.280
We generally start at 1030 central on the third Monday, whatever it is, on One Radio
00:00:22.280 --> 00:00:27.840
Network dot com with a very popular guest, Dr. Ray Peat.
00:00:27.840 --> 00:00:34.880
He has a PhD and Dr. Peat has been at this idea of looking at human nutrition, healing,
00:00:34.880 --> 00:00:38.040
how the body works for a very, very long time.
00:00:38.040 --> 00:00:40.440
A PhD from years ago.
00:00:40.440 --> 00:00:43.000
He's a nutritional counselor.
00:00:43.000 --> 00:00:48.120
He got his PhD from University of Oregon and he specialized in physiology.
00:00:48.120 --> 00:00:54.520
Started his work in hormones in '68, way back when I was in the military and I remember
00:00:54.520 --> 00:00:59.680
kind of a wild year where, if I recall, it was Bobby Kennedy was killed, President Johnson
00:00:59.680 --> 00:01:07.160
decided not to run, and Martin Luther King was murdered and for what that's worth.
00:01:07.160 --> 00:01:13.880
And then he wrote his dissertation in '72 and really talked about progesterone and hormones
00:01:13.880 --> 00:01:14.880
and such.
00:01:14.880 --> 00:01:20.600
And he's here, as I said, on the third Monday at 1030 central time, a little bit late.
00:01:20.600 --> 00:01:23.440
But Dr. Ray Peat, good morning to you, sir.
00:01:23.440 --> 00:01:24.440
How are you?
00:01:24.440 --> 00:01:25.440
Good morning.
00:01:25.440 --> 00:01:26.440
Very well.
00:01:26.440 --> 00:01:27.440
Yeah?
00:01:27.440 --> 00:01:28.440
Yeah.
00:01:28.440 --> 00:01:30.480
You're an orange juice guy.
00:01:30.480 --> 00:01:32.600
How do you drink orange juice every day?
00:01:32.600 --> 00:01:33.600
Yeah.
00:01:33.600 --> 00:01:38.440
I start out with either coffee con leche or orange juice.
00:01:38.440 --> 00:01:42.440
So you start off with what?
00:01:42.440 --> 00:01:43.520
Coffee and milk.
00:01:43.520 --> 00:01:44.520
Coffee and milk.
00:01:44.520 --> 00:01:45.520
Mm-hmm.
00:01:45.520 --> 00:01:48.680
And then orange juice.
00:01:48.680 --> 00:01:54.320
Over the years, we were told by our moms and school people that it's not too good to drink
00:01:54.320 --> 00:01:57.320
orange juice because it has too much sugar in it.
00:01:57.320 --> 00:01:58.320
Remember that?
00:01:58.320 --> 00:01:59.320
Oh, yeah.
00:01:59.320 --> 00:02:07.240
During the night, we use up almost all of our stored glucose, stored glycogen.
00:02:07.240 --> 00:02:15.360
And that's why almost everyone has very high cortisol in the morning, the stress hormone.
00:02:15.360 --> 00:02:22.400
And that's because it begins turning our good tissues, everything from the bones to the
00:02:22.400 --> 00:02:31.280
skin, starts breaking down as dawn approaches because we're using up our stored sugar and
00:02:31.280 --> 00:02:36.680
we need sugar to keep the brain alive and the blood cells.
00:02:36.680 --> 00:02:43.920
And so the stress hormones come up near dawn and start breaking down our tissues to feed
00:02:43.920 --> 00:02:46.160
the brain.
00:02:46.160 --> 00:02:53.520
Is that similar to having the lowest blood sugar in the morning or just this is more
00:02:53.520 --> 00:02:58.720
glucose taking more sugar in?
00:02:58.720 --> 00:03:08.960
In the biggest group of people, low blood sugar happens around 3 to 4 or 5 a.m.
00:03:08.960 --> 00:03:18.160
And that starts the intense surge in all of the stress hormones, not just cortisol, but
00:03:18.160 --> 00:03:29.000
rising serotonin, histamine, parathyroid hormone, everything related to stress and breakdown
00:03:29.000 --> 00:03:31.800
of tissues.
00:03:31.800 --> 00:03:41.480
People starting around menopause start losing almost all of their daily bone loss, starts
00:03:41.480 --> 00:03:43.480
in the early morning hours.
00:03:43.480 --> 00:03:51.960
And when they start eating sugar and get the blood sugar back up to lower the stress hormones,
00:03:51.960 --> 00:04:00.720
then the rest of the day, they don't lose a significant amount of bone or other tissue.
00:04:00.720 --> 00:04:09.560
The bone loss is just an easily measured sign that your body is being torn down.
00:04:09.560 --> 00:04:17.080
It happens to your skin and everything that isn't protected by hormones like testosterone
00:04:17.080 --> 00:04:18.080
and progesterone.
00:04:18.080 --> 00:04:20.160
So let's talk about that.
00:04:20.160 --> 00:04:24.240
So the progesterone and hormone, which you're really one of the experts at, have been in
00:04:24.240 --> 00:04:25.240
a long time.
00:04:25.240 --> 00:04:30.400
By the way, if you'd like to be on the air with Dr. Ray Peat, Patrick@OneRadioNetwork.com.
00:04:30.400 --> 00:04:31.920
We're just audio this morning.
00:04:31.920 --> 00:04:33.280
We'll get this video thing.
00:04:33.280 --> 00:04:37.400
We almost got it going, working, and we'll try it again tomorrow after doing a little
00:04:37.400 --> 00:04:38.400
tech stuff.
00:04:38.400 --> 00:04:43.040
Patrick@OneRadioNetwork.com, 888-663-6386.
00:04:43.040 --> 00:04:44.320
So let's go back.
00:04:44.320 --> 00:04:52.800
So three o'clock or so, the body starts running down on glucose, the hormones, and the cortisol
00:04:52.800 --> 00:04:53.920
levels.
00:04:53.920 --> 00:04:59.280
And that's really the beginning of losing bone and also where the skin will look a little
00:04:59.280 --> 00:05:05.400
ruffled maybe in the morning or wrinkles and stuff like that?
00:05:05.400 --> 00:05:16.760
Yeah, it's actually a little bit weaker and thinner, but water replaces the lost tissue.
00:05:16.760 --> 00:05:22.960
So you don't always notice that it looks thinner and tending to wrinkle.
00:05:22.960 --> 00:05:31.400
But yeah, the skin does look worse in aging people after the age of about 45 or so.
00:05:31.400 --> 00:05:32.400
In the morning?
00:05:32.400 --> 00:05:33.400
In the morning.
00:05:33.400 --> 00:05:34.400
In the morning.
00:05:34.400 --> 00:05:41.800
So could we eat something before bed, right before bed, that would help with this issue?
00:05:41.800 --> 00:05:43.520
Yeah.
00:05:43.520 --> 00:05:52.000
Sort of like an athlete socks up on carbohydrates for a day or even in the couple of hours before
00:05:52.000 --> 00:05:56.160
a marathon or whatever.
00:05:56.160 --> 00:06:05.080
You want to get your muscles, liver, and brain well supplied with glucose, glycogen, and
00:06:05.080 --> 00:06:14.240
so carbohydrate as your late afternoon or early evening meal is very important.
00:06:14.240 --> 00:06:22.920
And right at bedtime, a big surge of calcium such as a glass of milk helps to hold down
00:06:22.920 --> 00:06:33.120
the parathyroid hormone which specializes in bone destruction, mobilizes the calcium,
00:06:33.120 --> 00:06:40.760
and coming out of the bone, the calcium then activates the breakdown of your blood vessels
00:06:40.760 --> 00:06:45.040
and skin and tends to calcify blood vessels.
00:06:45.040 --> 00:06:53.800
So the calcium coming out of your bone doesn't just innocently get into the urine, but on
00:06:53.800 --> 00:07:01.800
the way there, it is exciting, helping to break down and age all of your tissues.
00:07:01.800 --> 00:07:06.400
So what if somebody wanted to get some good stuff right before bed, but they didn't like
00:07:06.400 --> 00:07:13.960
milk or they were dairy or lactose intolerant or something, would there be a substitute?
00:07:13.960 --> 00:07:24.640
Nothing is as good as milk because milk is very specialized for stimulating, optimizing
00:07:24.640 --> 00:07:29.360
the absorption of calcium and magnesium.
00:07:29.360 --> 00:07:39.160
Not only the lactose, but the various proteins in milk prepare the lining of the intestine
00:07:39.160 --> 00:07:47.160
to very efficiently absorb the calcium and magnesium.
00:07:47.160 --> 00:07:56.240
You can absorb it if you have orange juice and, for example, either the juice or the
00:07:56.240 --> 00:08:03.240
cooked leaf of kale, for example, is very rich in calcium and magnesium.
00:08:03.240 --> 00:08:11.160
So if you have a big serving of cooked kale and a glass of orange juice, that won't be
00:08:11.160 --> 00:08:15.800
as good as milk or cheese, but next best thing.
00:08:15.800 --> 00:08:16.800
Before bed.
00:08:16.800 --> 00:08:17.800
Before bed.
00:08:17.800 --> 00:08:20.520
Actually, actually have kale before bed.
00:08:20.520 --> 00:08:26.800
Milk and cheese sounds like tastier than that, but you know, whatever works for you.
00:08:26.800 --> 00:08:32.280
Is okay with goat or cow milk or camel or anything else works?
00:08:32.280 --> 00:08:43.320
I think camel and sheep milk are kind of thick, high on energy and fat, but they would work,
00:08:43.320 --> 00:08:48.160
but you would get fatter than low-fat cow milk.
00:08:48.160 --> 00:08:56.760
One percent cow milk or reduced fat goat milk is probably the best source for most people
00:08:56.760 --> 00:09:03.840
because if you're working all day on a farm, for example, it's fine to drink a gallon of
00:09:03.840 --> 00:09:12.200
whole milk because you're spending so many calories, but even drinking two quarts a day
00:09:12.200 --> 00:09:17.080
of whole milk, the average sedentary person is going to get fat.
00:09:17.080 --> 00:09:24.520
Boy, milk though, as you know, milk has sure gotten a bad rap, especially more so in the
00:09:24.520 --> 00:09:29.040
natural world over the last, what, 25 years, Dr. Peat?
00:09:29.040 --> 00:09:36.400
And then the mainstream, people in the mainstream still drink some milk, but not too many people
00:09:36.400 --> 00:09:39.880
in the natural world think, they've been told it's terrible, you can't exhort it, it was
00:09:39.880 --> 00:09:43.400
only meant for cows and all kinds of stuff, right?
00:09:43.400 --> 00:09:49.480
Yeah, and if you look at the culture, it's getting fatter and fatter, and milk happens
00:09:49.480 --> 00:09:58.400
to be the best weight loss food there is because the high calcium assimilation from it increases
00:09:58.400 --> 00:10:08.480
our metabolic rate, the combination of protein and calcium and magnesium is ideal for increasing
00:10:08.480 --> 00:10:12.520
our ability to burn calories.
00:10:12.520 --> 00:10:15.960
That's interesting, that is so interesting.
00:10:15.960 --> 00:10:21.160
And that plays along with the whole idea that we were sold, Doc, when was it, I guess early
00:10:21.160 --> 00:10:27.240
'90s, you know, that fat was bad, and that's when the whole low-fat thing really came on
00:10:27.240 --> 00:10:28.240
board, right?
00:10:28.240 --> 00:10:35.600
Yeah, the fat has to be adjusted to your activity level.
00:10:35.600 --> 00:10:42.800
If you're burning 5,000 calories a day, you can handle the fat of something like whole
00:10:42.800 --> 00:10:52.480
milk, but I found when I was in graduate school that drinking a gallon a day of 2% milk, I
00:10:52.480 --> 00:10:59.560
was starting to get fat, so I changed to 1% and have stayed the same weight ever since.
00:10:59.560 --> 00:11:04.920
But we've heard, though, that if you're gonna drink milk, it's best just to go with the
00:11:04.920 --> 00:11:08.800
whole stuff, though, the whole, no, the whole thing?
00:11:08.800 --> 00:11:12.320
The full fat, the full fat, I guess.
00:11:12.320 --> 00:11:24.040
Yeah, the high fat content is for a high work, high energy expenditure, and if you aren't
00:11:24.040 --> 00:11:34.160
spending 5,000 calories a day doing hard physical work, it's necessarily going to store as fat.
00:11:34.160 --> 00:11:40.040
So what about, say if you wake up in the middle of the night, 2 o'clock or 3 o'clock, could
00:11:40.040 --> 00:11:43.880
be a blood sugar thing, would orange juice work there as well?
00:11:43.880 --> 00:11:45.560
Oh, very well.
00:11:45.560 --> 00:11:46.560
Really?
00:11:46.560 --> 00:11:54.840
I usually use a glass of milk with a spoonful of sugar in it, but orange juice is fine.
00:11:54.840 --> 00:12:03.720
I've even used Coke when I was traveling and woke up at 3 a.m. and needed sugar, and Coke
00:12:03.720 --> 00:12:04.720
worked all right.
00:12:04.720 --> 00:12:05.720
Yeah, very interesting.
00:12:05.720 --> 00:12:13.680
Dr. Ray Peat, Patrick Timpone, OneRadioNetwork.com.
00:12:13.680 --> 00:12:16.800
So here we are, gosh, July 20.
00:12:16.800 --> 00:12:21.440
I think the whole COVID thing, we're kind of tired of talking about it, but I'm sure
00:12:21.440 --> 00:12:25.600
that you've looked at a lot of different things over the past three, four, five months.
00:12:25.600 --> 00:12:28.000
We've talked to it in past shows.
00:12:28.000 --> 00:12:32.680
Give me your, on July 20 here, with your opinion and all the research you do and the people
00:12:32.680 --> 00:12:43.240
that you talk to, can you give us your best opinion about what's going on as far as a
00:12:43.240 --> 00:12:49.720
virus, communicable, no virus, bioweapon, body makes the virus, whatever.
00:12:49.720 --> 00:12:51.920
Do you have an opinion on it?
00:12:51.920 --> 00:12:58.280
Is there any kind of real, let me finish it for a second, is there any kind of real science
00:12:58.280 --> 00:13:06.920
that is provable, or is it all just conjecture, even from a credentialed fellow like yourself?
00:13:06.920 --> 00:13:17.960
That's what I've been asking myself for, starting in February and March, I began writing down
00:13:17.960 --> 00:13:26.640
and looking at the numbers published by the Centers for Disease Control, and comparing
00:13:26.640 --> 00:13:35.840
them to previous years, and starting in the first week of January this year, the numbers
00:13:35.840 --> 00:13:47.680
of weekly deaths consistently over the last many years, they've completed their national
00:13:47.680 --> 00:14:00.120
compilation of deaths throughout the country within two weeks of reference week, and so
00:14:00.120 --> 00:14:06.040
starting in the third week, I was writing down the finished numbers for the first week
00:14:06.040 --> 00:14:17.360
of the year, and then comparing those numbers to the previous week in 2019, and after I'd
00:14:17.360 --> 00:14:24.280
done this for two or three months, I noticed that someone on the internet had been doing
00:14:24.280 --> 00:14:29.400
the same thing, only more thoroughly going back several decades.
00:14:29.400 --> 00:14:37.040
What I was seeing was a sharp drop in the weekly mortality, referring to the previous
00:14:37.040 --> 00:14:48.440
year, a sudden drop of 10-15% from last fall, and I couldn't find any historical precedent,
00:14:48.440 --> 00:14:56.760
and this person who has a website, I think his name is Joe Hoft, H-O-F-T, anyway, he
00:14:56.760 --> 00:15:04.720
did it for previous decades and came up with the same results.
00:15:04.720 --> 00:15:14.560
The mortality peak in last fall started at steep rise, exactly like every preceding year,
00:15:14.560 --> 00:15:23.520
the winter pneumonia deaths, but then suddenly around January 1st, there was a crash in the
00:15:23.520 --> 00:15:26.800
deaths all around the United States.
00:15:26.800 --> 00:15:35.280
People were dying less often from all causes, and that went on through March.
00:15:35.280 --> 00:15:42.840
There is this weird, it's like a volcano collapsing and making a crater, a historically unique
00:15:42.840 --> 00:15:56.760
mortality curve, and then if you look back at 10-15% unhistorical lack of deaths, suddenly
00:15:56.760 --> 00:16:06.000
in the first week of April, all of those missing deaths reappear in a gigantic, again, unhistorical
00:16:06.000 --> 00:16:10.840
peak, which they called the COVID death peak.
00:16:10.840 --> 00:16:21.800
And basically, there's no way that can happen, even if the bubonic plague started up, you
00:16:21.800 --> 00:16:31.920
just can't get a historical collapse of total mortality all around the country that way.
00:16:31.920 --> 00:16:38.320
I think the only way a criminal prosecutor could interpret it would be that someone was
00:16:38.320 --> 00:16:46.600
fiddling the numbers with foreknowledge that they were going to want a lot of deaths to
00:16:46.600 --> 00:16:55.200
report, so they trimmed impossibly the total mortality to have a big pile of deaths to
00:16:55.200 --> 00:16:57.040
report in April.
00:16:57.040 --> 00:16:58.040
Interesting.
00:16:58.040 --> 00:17:04.240
So, you can actually see where there was something done to the numbers in, what was it, you're
00:17:04.240 --> 00:17:08.000
saying in late fall and early winter?
00:17:08.000 --> 00:17:14.640
No, the death curve was perfectly normal right through December.
00:17:14.640 --> 00:17:22.480
And then it was just about the first week of January that if you plot their own numbers,
00:17:22.480 --> 00:17:27.360
you see this, it looks like a volcanic crater forming.
00:17:27.360 --> 00:17:36.560
A peak starts up and then collapses and then comes up super sharp on the other side.
00:17:36.560 --> 00:17:39.320
To make it look like there was a big "pow!"
00:17:39.320 --> 00:17:50.640
Yeah, except they haven't explained why those tens of thousands of people weren't dying
00:17:50.640 --> 00:17:56.720
in the run-up, almost three months.
00:17:56.720 --> 00:17:58.680
Wow.
00:17:58.680 --> 00:18:00.720
So.
00:18:00.720 --> 00:18:12.120
They didn't give out any explanation or show that anything real was happening, that they
00:18:12.120 --> 00:18:24.320
were just talking about this week 15 people died with a diagnosis and so on.
00:18:24.320 --> 00:18:31.400
You see the same thing happening now in Texas and Florida.
00:18:31.400 --> 00:18:40.640
They say a month ago there were only 10 or 15 people per day dying.
00:18:40.640 --> 00:18:43.360
Today 25 people died.
00:18:43.360 --> 00:18:45.720
Everyone should panic, we're all going to die.
00:18:45.720 --> 00:18:54.200
But when you look at the daily mortality in the state with 30 million, every day hundreds
00:18:54.200 --> 00:19:00.440
of people, 700 or 800 people are dying of all causes.
00:19:00.440 --> 00:19:10.040
And what they're saying is today twice as many people died with a diagnosis of COVID
00:19:10.040 --> 00:19:14.360
as did on a given day the previous month.
00:19:14.360 --> 00:19:24.280
But if you look at the number of daily tests given and look at the curve of COVID-diagnosed
00:19:24.280 --> 00:19:35.840
deaths, the rise in the daily tests given exactly corresponds to the rise in the daily
00:19:35.840 --> 00:19:44.560
diagnosed COVID deaths, and you can't really diagnose for sure that someone has the virus
00:19:44.560 --> 00:19:47.880
unless you do the test.
00:19:47.880 --> 00:19:55.640
And if the number of diagnosed people rises exactly as the number of tests administered
00:19:55.640 --> 00:20:04.120
rises, then you have no evidence that anything at all is happening.
00:20:04.120 --> 00:20:14.200
Does the PCR or DNA test give with any amount of accuracy that someone has a unique virulent
00:20:14.200 --> 00:20:19.920
potentially deadly communicable virus in their body?
00:20:19.920 --> 00:20:30.160
Well any virus is likely to be communicable and if you're in a very particular weakened
00:20:30.160 --> 00:20:34.480
state just about any virus can be deadly.
00:20:34.480 --> 00:20:45.640
Any old cold virus or just the most trivial sort of virus can push a very sick person
00:20:45.640 --> 00:20:48.920
over the edge.
00:20:48.920 --> 00:20:59.400
But the PCR test will find, even if you have just sitting on your mucus harmlessly, you
00:20:59.400 --> 00:21:09.800
could have a rabies virus or whatever, one of them sitting on a piece of spare mucus,
00:21:09.800 --> 00:21:17.200
the PCR test would find it and say you had rabies, but that virus might never have reached
00:21:17.200 --> 00:21:19.320
your living tissue.
00:21:19.320 --> 00:21:28.000
So when we're seeing antibodies, it doesn't mean that someone has a unique virus called
00:21:28.000 --> 00:21:30.160
COVID in there.
00:21:30.160 --> 00:21:41.920
Well the antibody, if their antibodies are truly specific for that particular antigen,
00:21:41.920 --> 00:21:44.600
that's a very different thing from the PCR test.
00:21:44.600 --> 00:21:57.440
The PCR test will amplify the most trivial amount of viral information, but to form antibodies
00:21:57.440 --> 00:22:05.560
that are more or less specific to that virus means that your immune system was exposed
00:22:05.560 --> 00:22:10.280
to it, but it doesn't mean you ever got sick from it.
00:22:10.280 --> 00:22:19.840
So which one is the antibody test, the other than the PCR test?
00:22:19.840 --> 00:22:22.120
Like the PCR test, we have two, right?
00:22:22.120 --> 00:22:25.960
The PCR test and the DNA test?
00:22:25.960 --> 00:22:31.720
The PCR test is for either RNA or DNA.
00:22:31.720 --> 00:22:34.040
And then what's the other test they're using?
00:22:34.040 --> 00:22:40.880
The antibody test is to see if you have been exposed to it and formed antibodies in your
00:22:40.880 --> 00:22:41.880
blood.
00:22:41.880 --> 00:22:46.440
Is that considered a positive test that they're reporting?
00:22:46.440 --> 00:22:52.360
Well it means that you've been exposed to it, but you might have had sniffles from it
00:22:52.360 --> 00:22:59.880
and not even noticed that you had anything and you can still form antibodies.
00:22:59.880 --> 00:23:07.360
Like when you eat a new food, you're likely to form antibodies.
00:23:07.360 --> 00:23:16.960
Your immune system is testing foods that you've eaten and checking them and preparing antibodies
00:23:16.960 --> 00:23:21.720
so that you will be tolerant to that food.
00:23:21.720 --> 00:23:29.920
It prepares to block any irritation from that food if your immune system is good.
00:23:29.920 --> 00:23:36.160
So the antibodies means you're safe from that particular antigen.
00:23:36.160 --> 00:23:41.960
It's a barrier against any further action by that particular thing.
00:23:41.960 --> 00:23:48.240
Do you know which test are giving most often, the PCR or the antibodies?
00:23:48.240 --> 00:23:57.120
No, for a time the CDC was listing the numbers all mixed together.
00:23:57.120 --> 00:24:08.280
So for weeks their numbers were totally meaningless because they were blending everything together
00:24:08.280 --> 00:24:17.680
and saying that these are the numbers of people with COVID, but absolutely different tests
00:24:17.680 --> 00:24:21.140
mixed together don't mean anything.
00:24:21.140 --> 00:24:29.720
So when governors and mayors and people are closing cities and masking orders and all
00:24:29.720 --> 00:24:38.160
that using people testing positive, which are called new cases, can you conjecture of
00:24:38.160 --> 00:24:47.520
what percent accurate that is?
00:24:47.520 --> 00:24:54.080
Well it's accurate in the sense that they have a positive result, but it doesn't mean
00:24:54.080 --> 00:25:02.040
that people were at all sick or if they were sick, it doesn't mean that if they died, it
00:25:02.040 --> 00:25:08.600
might have been a stroke or heart attack or trauma from falling out a window or something.
00:25:08.600 --> 00:25:18.000
But if they had the presence of the virus, they were put down as a COVID death.
00:25:18.000 --> 00:25:23.480
Two or three months ago, Deborah Birx, who used to appear in all the press conferences
00:25:23.480 --> 00:25:38.560
with Fauci and Trump, she said the government is listing everyone positive for a COVID test
00:25:38.560 --> 00:25:42.920
as a COVID death.
00:25:42.920 --> 00:25:50.560
She expressed what I was just saying that she no longer appears in the press conferences
00:25:50.560 --> 00:25:59.880
every day, starting right after making that sort of incriminating statement that there's
00:25:59.880 --> 00:26:03.320
no rational basis for what they're saying.
00:26:03.320 --> 00:26:07.840
We posted an article, I'll just read you the first paragraph to get your opinion, with
00:26:07.840 --> 00:26:13.640
Dr. Ray Peat, if you'd like to be on the show, Patrick@OneRadioNetwork.com, a high-profile
00:26:13.640 --> 00:26:18.240
European pathologist is reporting that he and his colleagues across Europe have found
00:26:18.240 --> 00:26:23.160
no evidence of any deaths from a novel coronavirus on that continent.
00:26:23.160 --> 00:26:30.280
Dr. Stolen-Alexoff contacted the World Health Organization and he was accusing them of creating
00:26:30.280 --> 00:26:36.440
worldwide fear and chaos without providing objective, variable proof of a pandemic.
00:26:36.440 --> 00:26:42.200
And then along with that, the Bulgarian Pathology Association, he's part of that, they believe
00:26:42.200 --> 00:26:46.080
it's currently impossible to create a vaccine against the virus.
00:26:46.080 --> 00:26:51.080
He also revealed that the European pathologists haven't identified anti-antibodies that are
00:26:51.080 --> 00:26:53.600
specific for SARS-CoV-2.
00:26:53.600 --> 00:27:03.400
Well, the Bulgarian is exactly right about the impossibility of making a vaccine.
00:27:03.400 --> 00:27:16.480
They've tried to make vaccines for the coronavirus, which is the common cold main cause for decades.
00:27:16.480 --> 00:27:27.040
They've found that the virus mutates within a few months to become resistant to any vaccination.
00:27:27.040 --> 00:27:36.760
And there's, being an RNA virus, all of these coronaviruses mutate about a hundred times
00:27:36.760 --> 00:27:45.760
faster than DNA virus and about a million times faster than mammalian DNA, very, very
00:27:45.760 --> 00:27:48.520
fast constant mutation rate.
00:27:48.520 --> 00:27:50.440
Constant mutation, wow.
00:27:50.440 --> 00:28:00.240
He's right on the impossibility of a vaccine, but his comment about the specific antibody,
00:28:00.240 --> 00:28:09.360
he's using a specificity of an antibody in a particular way that isn't correct for general
00:28:09.360 --> 00:28:12.200
immunology.
00:28:12.200 --> 00:28:23.360
You can have specificity as a composite of half a dozen different molecules that each
00:28:23.360 --> 00:28:28.600
one is roughly specific for the virus.
00:28:28.600 --> 00:28:35.360
So you don't have to have one absolutely specific antibody.
00:28:35.360 --> 00:28:44.320
He's thinking about the monoclonal specific antibody, but you don't need that kind of
00:28:44.320 --> 00:28:47.440
specificity to have a vaccine.
00:28:47.440 --> 00:28:54.160
What about his statement on, has not found any evidence of any deaths?
00:28:54.160 --> 00:29:01.560
That was a different group and I haven't read that paper, but I would agree that, how do
00:29:01.560 --> 00:29:08.880
you prove that a death was caused by a virus?
00:29:08.880 --> 00:29:19.440
In the case of hospital deaths, just recently news came out that the intensive care units
00:29:19.440 --> 00:29:29.880
have since the first months of the so-called pandemic, mortality has dropped by 30%.
00:29:29.880 --> 00:29:39.800
What has happened around the country, they've discovered that when they intubate someone,
00:29:39.800 --> 00:29:48.240
the process of putting the tube in them and giving them powerful drugs to make them unconscious
00:29:48.240 --> 00:29:58.600
and relax their reflex muscle contractions, those drugs combined with forced respiration
00:29:58.600 --> 00:30:03.480
kill almost 100% of the people within a few weeks.
00:30:03.480 --> 00:30:11.240
So they were killing 100% of their patients, practically 80 to 100% simply by the treatment
00:30:11.240 --> 00:30:13.560
they were giving them.
00:30:13.560 --> 00:30:21.680
That came to be realized now simply by reducing the number of intubations for which the government
00:30:21.680 --> 00:30:30.800
was paying them $48,000 per patient tubed and killed.
00:30:30.800 --> 00:30:39.240
Simply by reducing their greedy uptake of government money, they've cut intensive care
00:30:39.240 --> 00:30:42.240
unit mortality by a third.
00:30:42.240 --> 00:30:49.560
So how long did this go on and any possibility of knowing how many deaths were attributed
00:30:49.560 --> 00:30:53.320
to this incorrect procedure?
00:30:53.320 --> 00:31:06.680
When one doctor in Europe compared two nearby hospitals in Germany, he was working with
00:31:06.680 --> 00:31:16.360
one of them and he explained why the tubing was killing patients because it was irrationally
00:31:16.360 --> 00:31:21.360
disturbing their oxygen carbon dioxide balance.
00:31:21.360 --> 00:31:32.080
So he just adjusting a nasal cannula, no drugs to relax them or stuffing tubes down their
00:31:32.080 --> 00:31:36.320
trachea.
00:31:36.320 --> 00:31:45.240
His hospital mortality went to zero while the adjoining hospital continued to have 100%
00:31:45.240 --> 00:31:55.680
mortality and absolute all or none difference just by a conservative using standard nasal
00:31:55.680 --> 00:32:01.320
cannula gas mixing recipes.
00:32:01.320 --> 00:32:09.240
He wasn't even recognizing the importance of having the proper balance of carbon dioxide
00:32:09.240 --> 00:32:13.780
but still he was not killing any of his patients.
00:32:13.780 --> 00:32:19.280
Because when you just use the cannula, you're retaining the balance of carbon dioxide?
00:32:19.280 --> 00:32:23.680
Letting the patient balance it himself.
00:32:23.680 --> 00:32:27.240
And so before they were just pushing in pure oxygen?
00:32:27.240 --> 00:32:37.640
Yeah, to different extents and that's been known now for generations that when you artificially
00:32:37.640 --> 00:32:48.280
ventilate someone, you override their rate regulating system and if you slightly exceed
00:32:48.280 --> 00:32:57.040
the oxygen dose, you drive out the carbon dioxide which is needed to deliver oxygen
00:32:57.040 --> 00:33:01.200
to the tissues and even open capillaries.
00:33:01.200 --> 00:33:08.080
You shrink the blood vessels in the brain for example and starve the brain for oxygen
00:33:08.080 --> 00:33:10.520
because you're giving too much oxygen.
00:33:10.520 --> 00:33:16.880
Yes, and different from using oxygen therapy but because this is putting it inside the
00:33:16.880 --> 00:33:21.960
body through unnatural means with a tube.
00:33:21.960 --> 00:33:24.420
And you can give too much.
00:33:24.420 --> 00:33:33.280
For example, just the difference in altitude, if a person is having a regulatory problem
00:33:33.280 --> 00:33:40.680
even at sea level, keep keeping their carbon dioxide up because they're forming lactic
00:33:40.680 --> 00:33:41.680
acid.
00:33:41.680 --> 00:33:48.180
There's a natural competition between lactic acid and carbon dioxide.
00:33:48.180 --> 00:33:56.100
If a person tends towards stress or diabetes for example, their background lactic acid
00:33:56.100 --> 00:34:05.060
will indicate the appearance that they're under chronic exercise or something.
00:34:05.060 --> 00:34:14.700
There will be a residual lactic acid level and if you add carbon dioxide, that will suppress
00:34:14.700 --> 00:34:18.460
glycolysis that makes the excess lactic acid.
00:34:18.460 --> 00:34:27.720
So you can correct those signs of incipient diabetes and stress by adding some carbon
00:34:27.720 --> 00:34:28.980
dioxide.
00:34:28.980 --> 00:34:40.300
And if you rise in altitude and are healthy, your body under lower oxygen pressure is able
00:34:40.300 --> 00:34:48.980
to regulate itself to maintain higher carbon dioxide than at sea level.
00:34:48.980 --> 00:34:56.660
And so adapted people, they've known for at least 50 years, more like 70 years that they