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[00:00.000 --> 00:02.520]  I'm Dave Champion.
[00:02.520 --> 00:09.840]  Do you remember a few weeks back the CDC posted on its website that only 6% of those who have
[00:09.840 --> 00:17.320]  died from COVID-19 died without having some additional condition.
[00:17.320 --> 00:21.820]  For months you've heard me talk about pre-existing conditions.
[00:21.820 --> 00:26.600]  And unfortunately the way the CDC presented that information and the charts that they
[00:26.600 --> 00:34.640]  appended to it, it caused mass confusion and it allowed expositors to look at it and say
[00:34.640 --> 00:39.400]  one thing and then other expositors to look at it and say something else all in good faith
[00:39.400 --> 00:52.880]  because the numbers were not parsed clearly and it was not presented to the public clearly.
[00:52.880 --> 00:56.600]  I am not going to try to sort out that CDC mess.
[00:56.600 --> 01:00.720]  Instead I want to take this in another direction.
[01:00.720 --> 01:07.840]  Back in March of 2020, the Italian health agency released a report in which they said
[01:07.840 --> 01:18.260]  quite plainly that of all the people who had died up to that date in Italy, 99% of those
[01:18.260 --> 01:24.800]  people had a previous condition, a previous illness.
[01:24.800 --> 01:30.400]  So they distinguish, unlike the CDC, they distinguished between a condition that came
[01:30.400 --> 01:37.900]  on as a consequence of COVID-19 versus a condition such as chronic disease that existed before
[01:37.900 --> 01:41.540]  the person was infected with SARS-CoV-2 and developed COVID-19.
[01:41.540 --> 01:46.540]  That's a distinction made in the Italian report, not made in the CDC report.
[01:46.540 --> 01:53.540]  The actual number cited in the Italian report is 99.2%.
[01:53.540 --> 02:01.900]  Now I want to be clear, the criticism of the Italian report is that it sampled a mere 18%
[02:01.900 --> 02:04.100]  of the medical records of all those who died.
[02:04.100 --> 02:14.020]  Now sampling 18% is actually, as far as scientific analysis goes, sampling 18% is actually a
[02:14.740 --> 02:16.660]  very good high number.
[02:16.660 --> 02:24.900]  A lot of these studies, they look at 3%, 7%, 8%, so 18% is actually really good.
[02:24.900 --> 02:29.620]  To know that you understand the criticism of the Italian report, we're still left with
[02:29.620 --> 02:37.780]  the fact that the Italian report said 99.2% had a prior illness, a previous existing condition,
[02:37.780 --> 02:42.220]  and only 0.8% of those who died in Italy did not.
[02:42.220 --> 02:43.420]  You know I love the graphs, right?
[02:43.420 --> 02:45.860]  So here's a pie chart.
[02:45.860 --> 02:50.700]  This is actually derived exactly from the Italian medical report we've been talking
[02:50.700 --> 02:54.620]  about and you can see around the pie chart the various how many had one disease, how
[02:54.620 --> 02:56.900]  many had two disease, how many had three diseases.
[02:56.900 --> 03:02.540]  And then right up here at the top that you can barely see, but you will see the words
[03:02.540 --> 03:09.180]  that it was 0.8% had no previous condition.
[03:09.180 --> 03:14.940]  With that under our belts, now let's travel back to the 1800s.
[03:14.940 --> 03:21.500]  Bear with me because I believe I have a point that is rather profound I'd like to share
[03:21.500 --> 03:22.700]  with you.
[03:22.700 --> 03:28.180]  So if we go back to the 1800s, it can be 1820, 1860, 1880, I don't care.
[03:28.180 --> 03:35.820]  Because what we're talking about is prior to what I dub in body science, the manufactured
[03:35.820 --> 03:37.460]  food revolution.
[03:37.460 --> 03:44.100]  What I mean by that is only around the turn of the 20th century were things said to be
[03:44.100 --> 03:49.100]  food actually designed in a laboratory and produced in a factory.
[03:49.100 --> 03:52.780]  That didn't exist before the manufactured food revolution.
[03:52.780 --> 03:57.020]  And interestingly, before that time, this is why I go back to the 1800s, I could go
[03:57.020 --> 03:59.340]  to the 1700s, 1600s, 1500s, you get it.
[03:59.340 --> 04:04.660]  But the 1800s is the last time that this statement is true.
[04:04.660 --> 04:10.860]  Chronic disease was virtually unknown in the United States and in a moment we're going
[04:10.860 --> 04:14.620]  to talk about the numbers of chronic disease in the United States today and the difference
[04:14.620 --> 04:16.820]  is just astounding.
[04:16.820 --> 04:20.500]  So again, back to the 1800s, we'll make it the late 1800s just to bring that up as far
[04:20.500 --> 04:23.240]  as we can close to the 20th century.
[04:23.240 --> 04:26.140]  Chronic disease was virtually unknown.
[04:26.140 --> 04:31.940]  And to give you some idea of that in comparison to what your experience may be in America
[04:32.020 --> 04:39.020]  today, I want to share with you just this part that you see in the box from page 91
[04:39.020 --> 04:45.860]  of body science and it reads, diabetes was virtually unknown in the late 19th century.
[04:45.860 --> 04:50.860]  During that era, doctors attended conferences to learn about diabetes.
[04:50.860 --> 04:57.400]  They had to attend conferences because diabetes was not included in medical school curriculum.
[04:57.400 --> 05:03.280]  Most of the attendees had never met a person, no less a patient, with diabetes.
[05:03.280 --> 05:04.920]  Pretty astounding, right?
[05:04.920 --> 05:12.360]  Especially when you consider that in 2019 in the United States, one out of seven Americans
[05:12.360 --> 05:13.360]  have diabetes.
[05:13.360 --> 05:20.800]  So we're talking about going from an era, late 1800s, when doctors had never met anybody
[05:20.800 --> 05:26.280]  with diabetes, no less had a patient with them, to today one in seven.
[05:26.280 --> 05:31.740]  Now, I highlighted diabetes, but the same could be said in relative proportion to any
[05:31.740 --> 05:34.920]  of the chronic diseases we have today.
[05:34.920 --> 05:41.000]  Understanding how rare chronic disease was in the United States prior to the 20th century,
[05:41.000 --> 05:45.280]  this brings me to the point that, at least I think, is somewhat profound.
[05:45.280 --> 05:54.240]  So imagine if SARS-CoV-2 had struck the United States in, say, 1870 rather than 2020.
[05:54.240 --> 06:04.760]  And let's apply the numbers from the Italian report back in March, it said 99.2% had some
[06:04.760 --> 06:05.760]  existing condition.
[06:05.760 --> 06:09.720]  Now, the vast majority of the lion's share is going to be chronic disease, but on the
[06:09.720 --> 06:15.320]  chance that it wasn't all chronic disease, let's back the number down from 99.2% down
[06:15.320 --> 06:23.680]  to 97% and say, of the people that died in Italy based on the report back in March, 97%
[06:23.680 --> 06:30.240]  had an existing chronic disease, one or more, before they contracted the SARS-CoV-2 virus
[06:30.240 --> 06:33.100]  and eventually got COVID-19 and died.
[06:33.100 --> 06:39.280]  As I'm sitting here filming this on September 14, 2020, the CDC's provisional death count
[06:39.280 --> 06:44.880]  from COVID-19 in the United States is 179,640.
[06:44.880 --> 06:50.400]  We'll just round that up by another 400 and call that 180,000.
[06:50.400 --> 07:03.200]  So if we take that 97% figure from the Italian report and apply it to the 179,640, does that
[07:03.200 --> 07:13.240]  mean that only 5,389 Americans would have died if, as it was back in the 1800s, there
[07:13.240 --> 07:16.560]  was no chronic disease in the U.S.?
[07:16.720 --> 07:18.640]  Absolutely not.
[07:18.640 --> 07:24.880]  It doesn't mean that, because the U.S. population was only 12% of what it is today.
[07:24.880 --> 07:31.080]  So using these numbers in the math equation, if SARS-CoV-2 had struck the United States
[07:31.080 --> 07:37.320]  in 1870, when chronic disease was virtually unknown, the death toll from COVID-19 would
[07:37.320 --> 07:40.160]  have been 646.
[07:40.160 --> 07:47.640]  But back to today, using the Italian numbers, am I saying that?
[07:47.640 --> 07:56.360]  Am I making a hard determination, I'm stating a fact, that if Americans did not have chronic
[07:56.360 --> 07:59.760]  disease, and I don't mean a lot less, I mean if we didn't have it, just like it was back
[07:59.760 --> 08:08.840]  in the 1800s, am I saying only 5,389 Americans would have died with or from COVID-19?
[08:08.920 --> 08:13.120]  I'm not saying that is a hard fact, because I don't have a crystal ball, and there's
[08:13.120 --> 08:18.720]  no way, I mean you can run the math, but there's no way to say that is absolutely factual.
[08:18.720 --> 08:21.360]  So let's say my numbers are off by a little bit.
[08:21.360 --> 08:25.360]  You can decide for yourself how little or how much you want to attribute my numbers
[08:25.360 --> 08:31.400]  being off to for the sake of this exercise, but let's say it's not 5,389.
[08:31.400 --> 08:37.800]  Let's say that if no Americans had chronic disease, then the death toll from COVID-19
[08:37.800 --> 08:48.960]  here in 2020 would be 7,000, or 10,000, 14,000, 17,000, 24,000.
[08:48.960 --> 08:55.240]  Anybody think that that is not preferable to 180,000 as it stands today?
[08:55.240 --> 08:58.760]  My point is that we don't have to quibble about the exact percentages, and we don't
[08:58.760 --> 09:04.360]  have to quibble about the exact numbers to see that if Americans didn't have chronic
[09:04.920 --> 09:09.280]  the outcome would be exponentially better.
[09:09.280 --> 09:15.680]  So when we talk about chronic disease impacting the death numbers from SARS-CoV-2 and COVID-19,
[09:15.680 --> 09:22.200]  the question is how big a group are we talking about in the United States?
[09:22.240 --> 09:35.560]  Well, according to the CDC, 60%, that's 6-0% of the U.S. population has at least one chronic
[09:35.560 --> 09:36.560]  disease.
[09:36.560 --> 09:50.520]  If you do the math, that's 193 million Americans, and in 2019, 1.7 million Americans died of
[09:50.840 --> 09:51.840]  chronic disease.
[09:51.840 --> 09:54.360]  But of course, people aren't upset about that because the media hasn't told them to be upset
[09:54.360 --> 09:55.720]  about that.
[09:55.720 --> 10:03.960]  1.7 million from chronic disease, that's a sense today, 180,000 from COVID-19.
[10:03.960 --> 10:08.800]  And I'm not trying to minimize those 180,000 deaths, I'm trying to give some perspective
[10:08.800 --> 10:09.800]  on this.
[10:09.800 --> 10:12.960]  And of course, the perspective I'm trying to give is that the American public actually
[10:12.960 --> 10:16.480]  has no perspective at all.
[10:17.440 --> 10:22.720]  Oh my God, the world is over, everything has to be destroyed, our economy has to go in
[10:22.720 --> 10:23.720]  the toilet.
[10:23.720 --> 10:28.280]  Oh, 1.7 million deaths last year from chronic disease, we're not even going to talk about
[10:28.280 --> 10:29.280]  that.
[10:29.280 --> 10:31.720]  So let's draw a distinction here.
[10:31.720 --> 10:36.920]  Late 1800s, chronic disease virtually unknown.
[10:37.360 --> 10:51.440]  However, today we have 193 million, from damn close to zero to 193 million in we'll call
[10:51.440 --> 10:53.880]  it 140 years.
[10:53.880 --> 11:01.080]  That should tell anyone with a brain housing unit that it's all about lifestyle choices.
[11:01.240 --> 11:07.400]  Do you imagine what we're living through right now is the last virus outbreak that's going
[11:07.400 --> 11:09.200]  to hit the United States?
[11:09.200 --> 11:12.360]  Yeah, no, it is not.
[11:12.360 --> 11:17.280]  And of course, we know that the lion's share of those people who died from or with COVID-19,
[11:17.280 --> 11:21.840]  the vast majority, we don't need to niggle about the numbers, the vast majority had some
[11:21.840 --> 11:23.480]  form of chronic disease.
[11:23.880 --> 11:34.280]  If we believe Italy, then 0.8% is the small percentage who die that don't have chronic
[11:34.280 --> 11:35.280]  disease.
[11:35.280 --> 11:39.080]  So, I don't know, call me nuts.
[11:39.080 --> 11:42.120]  Perhaps this is a great time to take stock of all these facts we've just been talking
[11:42.120 --> 11:46.640]  about and get the information, the science, the data, the facts, the evidence that will
[11:46.800 --> 11:58.160]  allow you to drive your odds of getting any chronic disease down as low as humanly possible.
[11:58.160 --> 12:00.680]  Drive those odds into the sub-basement.
[12:00.680 --> 12:03.880]  Yeah, how do you do that?
[12:03.880 --> 12:05.360]  You already know the answer.
[12:05.360 --> 12:10.360]  You read body science and, you know, I think some people get disturbed because I come on
[12:10.360 --> 12:14.440]  and I give you all these facts and then I wind up telling you about body science.
[12:14.440 --> 12:16.600]  Why would I not?
[12:16.600 --> 12:19.840]  The only person I can see getting upset about this is somebody who says, oh, I don't want
[12:19.840 --> 12:20.840]  to know those facts.
[12:20.840 --> 12:22.080]  I don't want to know that evidence.
[12:22.080 --> 12:29.240]  I don't want to drive my odds of getting chronic disease from really high down into the sub-sub-sub-sub-basement.
[12:29.240 --> 12:30.240]  I don't want to do that.
[12:30.240 --> 12:35.560]  That, I imagine, is the only person who gets bothered by the fact that I'm sharing this
[12:35.560 --> 12:38.360]  amazing resource with you.
[12:38.360 --> 12:40.840]  Yeah, okay, I'll shut up now.