Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.000 --> 00:05.320]  Lots of numbers have been tossed around concerning SARS-CoV-2 in the last two years, and with
[00:05.320 --> 00:10.040]  Omicron raging across the nation and certain people saying that that is a good thing because
[00:10.040 --> 00:20.640]  it's going to create herd immunity, where are we today in the total infection numbers?
[00:20.640 --> 00:32.040]  The Dr. Reality Vodcast with Dave Champion.
[00:32.040 --> 00:37.400]  Let's start with the scientific reality that no one can tell the world exactly how many
[00:37.400 --> 00:41.040]  infections have taken place over the last two years.
[00:41.040 --> 00:45.360]  That is simply well beyond our current technological abilities.
[00:45.360 --> 00:49.740]  The data that I'm using for this presentation is from Google's aggregated data.
[00:49.740 --> 00:56.340]  It is current through January 11th, and I'm recording this on January 13th, 2022.
[00:56.340 --> 01:01.740]  Several weeks ago, I did a presentation in which I discussed the estimated total infections
[01:01.740 --> 01:05.380]  in the United States as of December 19th.
[01:05.380 --> 01:12.140]  Using the CDC's metric of for every one identified infection, there are four additional unidentified
[01:12.140 --> 01:13.140]  infections.
[01:13.140 --> 01:16.300]  As of December 19th, the best estimate of total infections in the United States was
[01:17.060 --> 01:21.860]  254 million people in the U.S. had been infected.
[01:21.860 --> 01:28.540]  According to the U.S. Census Bureau's population clock, there were, back on December 19th,
[01:28.540 --> 01:32.940]  333 million people in the U.S., approximately.
[01:32.940 --> 01:39.380]  So if we subtract the number of total estimated infections using CDC's one-to-four metric
[01:39.380 --> 01:43.620]  from the total population of the United States, we are left with the number that, again, as
[01:43.620 --> 01:51.580]  of December 19th, 79 million Americans had not yet been infected with SARS-CoV-2.
[01:51.580 --> 01:56.500]  Because in that earlier presentation, I provided the estimated total number of infections in
[01:56.500 --> 02:00.500]  the U.S. as of December 19th, 2021, I should use that as a baseline.
[02:00.500 --> 02:03.980]  Then from there, I looked again at Google's aggregated data.
[02:03.980 --> 02:08.980]  I started with December 20th, the day after the baseline, and I looked at every single
[02:09.060 --> 02:16.060]  day to see how many infections, identified infections, were known on that particular
[02:16.300 --> 02:17.300]  day.
[02:17.300 --> 02:21.660]  So I went from December 20th through January 11th, 2022.
[02:21.660 --> 02:24.260]  A point of clarification before I get rolling.
[02:24.260 --> 02:29.100]  There were three days where Google's aggregated data showed nothing.
[02:29.100 --> 02:31.060]  The data just wasn't there.
[02:31.060 --> 02:35.420]  That was December 21st, December 28th, and January 4th.
[02:35.420 --> 02:38.540]  So what I did for each of this, because obviously people were infected on those days, there
[02:38.540 --> 02:41.820]  was just no data showing up from Google's aggregated data.
[02:41.820 --> 02:46.420]  So what I did is I took the day before and the day after, added them together, averaged
[02:46.420 --> 02:51.260]  that, and attributed that averaged amount for the missing day's data.
[02:51.260 --> 02:58.260]  So now, understanding the methodology, total estimated infections from December 20th through
[02:58.980 --> 03:05.980]  January 11th was 11,731,863, and obviously those are identified infections.
[03:11.740 --> 03:17.740]  Through the alpha, beta, and delta waves, as I mentioned a moment ago, CDC used a metric
[03:17.740 --> 03:24.740]  of one to four to estimate the total number of infections from the known or identified
[03:25.060 --> 03:26.620]  number of infections.
[03:26.660 --> 03:32.500]  I would suggest that that metric is dated now in the world of Omicron, as quickly as
[03:32.500 --> 03:34.700]  it's spreading and with testing shortages.
[03:34.700 --> 03:41.700]  Nevertheless, let's apply that delta era metric to the current number I just stated, the 11
[03:42.260 --> 03:43.300]  million number.
[03:43.300 --> 03:48.100]  When we apply the one to four metric, we find that the estimated total number of infections
[03:48.100 --> 03:55.100]  in the U.S. is 312,659,315, or more.
[03:56.900 --> 03:59.820]  94% of the U.S. population.
[03:59.820 --> 04:06.820]  One would think at 94% of the U.S. population, the U.S. would have achieved herd immunity.
[04:10.220 --> 04:12.620]  Is there any evidence of that?
[04:12.620 --> 04:14.580]  By the way, I have to ask you that question.
[04:14.580 --> 04:16.180]  Is there any evidence of that?
[04:16.180 --> 04:20.740]  Because if I were to tell you what the situation is, YouTube would take down this video and
[04:20.740 --> 04:25.820]  suspend me for providing you with facts, data, and evidence that it chooses to look at as
[04:25.980 --> 04:31.940]  misinformation, because it possibly conflicts with something that a local health agency
[04:31.940 --> 04:34.540]  or the World Health Organization has said.
[04:34.540 --> 04:38.740]  As I've stated many times before, these punishments, whether it's by Facebook, whether it's YouTube,
[04:38.740 --> 04:41.940]  Twitter, etc., oftentimes it's not because the presenter is wrong, it's because the
[04:41.940 --> 04:42.940]  presenter is first.
[04:42.940 --> 04:47.660]  In other words, the presenter is out in front of the official narrative with the actual
[04:47.660 --> 04:53.540]  facts, data, and evidence as exists at that moment, and large bureaucracies just haven't
[04:53.540 --> 04:55.180]  caught up yet.
[04:55.180 --> 04:59.900]  If these platforms say you are in conflict or you're contradicting what one of these
[04:59.900 --> 05:06.420]  agencies says, then you are spewing medical misinformation and must be suspended.
[05:06.420 --> 05:10.140]  For that reason, I'm just asking you questions.
[05:10.140 --> 05:14.020]  I mentioned a moment ago with Omicron's rapid spread and the shortage of testing at this
[05:14.020 --> 05:20.860]  time that I believe CDC's older era 1 to 4 metric is no longer valid.
[05:20.860 --> 05:28.420]  I believe a more accurate current metric might be 1 to 9.
[05:28.420 --> 05:33.940]  Now a quick note for the people who engage in censorship at platforms like YouTube.
[05:33.940 --> 05:41.260]  If CDC is still using 1 to 4, I'm not saying I'm right and they're wrong.
[05:41.260 --> 05:45.260]  Actually my audience, if CDC is still using 1 to 4, then my audience should completely
[05:45.260 --> 05:47.540]  ignore my 1 to 9.
[05:47.540 --> 05:52.100]  That's just my hypothetical metric for the current situation.
[05:52.100 --> 05:53.100]  So let's be clear.
[05:53.100 --> 05:55.540]  I am not contradicting the World Health Organization.
[05:55.540 --> 05:57.020]  I am not contradicting CDC.
[05:57.020 --> 06:00.500]  I'm not contradicting the National Institutes of Health.
[06:00.500 --> 06:04.700]  What I'm doing is saying if they're still using 1 to 4, by all means my audience should
[06:04.700 --> 06:14.540]  ignore the 1 to 9 and do and follow and believe passionately whatever CDC says.
[06:14.540 --> 06:21.420]  So if we use my completely hypothetical, totally baseless, could not possibly be right
[06:21.420 --> 06:28.060]  metric, that is if CDC is still using its original metric, if we use that metric, then
[06:28.060 --> 06:35.420]  between December 20th through January 11th, using the 1 to 9 metric, the total estimated
[06:35.420 --> 06:46.940]  number of infections in the United States in that timeframe would be 117,318,630.
[06:46.940 --> 06:53.700]  Now interestingly, if we add that number to the estimated total number of U.S. infections
[06:53.700 --> 07:06.420]  as of December 19th, 2021, we come up with a total estimated infections of 450,318,630,
[07:06.420 --> 07:13.540]  which is 35% more than the total population of the United States.
[07:13.540 --> 07:18.980]  So another question for you, because I can't say anything except ask you questions.
[07:18.980 --> 07:20.260]  Thank you, YouTube.
[07:20.260 --> 07:28.300]  Do you think that with estimated total infections in the United States using the 1 to 9 metric
[07:28.300 --> 07:37.700]  being 135% of the U.S. population, the U.S. should be already in herd immunity?
[07:37.700 --> 07:45.300]  And if you believe that at 135% herd immunity should exist, do you see any evidence that
[07:45.300 --> 07:46.740]  it does?
[07:46.740 --> 07:49.780]  I've spoken a lot about my understanding that the vaccines do not activate production
[07:49.780 --> 07:51.340]  of memory T cells.
[07:51.340 --> 07:55.780]  I'm not going to get into that here again today, but I will put a link to that video
[07:55.780 --> 08:00.260]  down in the notes, and I strongly, strongly, strongly encourage you to watch that video.
[08:00.260 --> 08:05.460]  I've also discussed two what I consider to be critical questions that as of this moment
[08:05.460 --> 08:10.320]  are unanswered because the government is not doing any research on them.
[08:10.320 --> 08:18.420]  One question involves what happens in the human body with post-natural infection vaccination,
[08:18.420 --> 08:23.500]  and the second one deals with post-vaccination natural infection.
[08:23.500 --> 08:28.020]  Again, I'm not going to get into it here and now, but I'm going to put the link to the
[08:28.020 --> 08:31.460]  video about those two questions down in the notes.
[08:31.460 --> 08:41.640]  To be clear, if 90% or 95% or 100% or 135% of the U.S. population has been infected with
[08:42.120 --> 08:51.920]  COVID-2 and herd immunity does not occur, it would be the first time in human history
[08:51.920 --> 08:57.840]  that with those numbers from a virus outbreak, herd immunity was not achieved.
[08:57.840 --> 09:02.720]  If in your estimation, as you look at the data, as you look at what's happening around
[09:02.720 --> 09:07.040]  the world, as you look at the numbers in your country, and you determine that despite those
[09:07.040 --> 09:11.700]  incredibly high numbers of infections, herd immunity has not been achieved, a reasonable
[09:11.700 --> 09:20.960]  person would wish to inquire what differentiates this virus outbreak from all previous virus
[09:20.960 --> 09:24.280]  outbreaks in the history of mankind.
[09:24.280 --> 09:30.280]  And once you lay that question on the table, you find that the distinction between this
[09:30.280 --> 09:35.880]  virus outbreak and every previous virus outbreak in human history is that this one has been
[09:35.880 --> 09:42.600]  addressed by the establishment via mass injection of mRNA technology products.
[09:42.600 --> 09:49.820]  If one decides that the only distinction between all previous virus outbreaks that mankind
[09:49.820 --> 09:57.000]  has experienced and this virus outbreak is mass injection of mRNA technology products,
[09:57.000 --> 10:04.120]  if that is, if you determine that that is the distinction in this particular issue,
[10:04.480 --> 10:11.280]  a reasonable person would have to ask whether there's something about these mRNA technology
[10:11.280 --> 10:16.720]  injections that in some cases fail to activate production of memory T cells and in other
[10:16.720 --> 10:23.280]  situations may somehow compromise or confuse or inhibit the function of memory T cells.
[10:23.280 --> 10:30.360]  And again, for platform employees who engage in censorship, I'm not saying any of that
[10:30.360 --> 10:31.960]  is happening.
[10:31.960 --> 10:37.480]  I'm laying out a scenario so that the audience can determine whether this makes sense to
[10:37.480 --> 10:42.440]  them and if it does make sense to them that maybe this is a question that should be asked.
[10:42.440 --> 10:47.600]  If you believe or suspect that here in the United States, 100%, maybe somewhere close
[10:47.600 --> 10:54.520]  to 100% of the population has been infected with SARS-CoV-2, and yet in your estimation,
[10:54.520 --> 11:00.240]  you don't see any evidence of herd immunity occurring, you should really watch the video
[11:00.320 --> 11:07.840]  the link that's in the notes about that subject so that you'll understand what might be afoot.
[11:07.840 --> 11:13.120]  If you value this sort of presentation, I used to say fact-based, plain speaking, but
[11:13.120 --> 11:17.840]  now because of the censorship on these platforms, it's not as direct and plain speaking as it
[11:17.840 --> 11:19.000]  once was.
[11:19.000 --> 11:23.720]  As you notice, it's kind of ridiculous what I have to do, but hopefully I'm still getting
[11:23.720 --> 11:24.720]  the information across.
[11:24.720 --> 11:29.880]  So if you value having the information getting out, having it get across to the public, then
[11:29.880 --> 11:34.920]  please help me to continue to be here for you, and it's so easy to do that.
[11:34.920 --> 11:39.640]  All you have to do is go to DrReality.News, grab a copy of Body Science or Income Tax
[11:39.640 --> 11:41.680]  Shattering Mist.
[11:41.680 --> 11:49.280]  These are books where I utterly destroy with facts, data, evidence, history, law, et cetera,
[11:49.280 --> 11:55.120]  the falsehoods promulgated by the establishment, and once you've seen the data for yourself
[11:55.280 --> 12:01.400]  and you understand without a shred of doubt that, yeah, you've been lied to for a very
[12:01.400 --> 12:07.080]  long time, I then lay out exactly in the case of Body Science what the physiology is.
[12:07.080 --> 12:11.960]  I lay out exactly in Income Tax Shattering the Mist what the law has said for more than
[12:11.960 --> 12:16.560]  a hundred years about the fact that Congress has never imposed the income tax on the average
[12:16.560 --> 12:20.920]  American who goes out and works for their own living here in the States of the Union.
[12:21.000 --> 12:25.120]  The universal consensus of people who have read these books is they are phenomenal.
[12:25.120 --> 12:26.240]  They are intriguing.
[12:26.240 --> 12:27.240]  They are fascinating.
[12:27.240 --> 12:31.960]  People have often referred to Income Tax Shattering the Mist as reading almost like a whodunit
[12:31.960 --> 12:37.520]  as the facts are revealed over time in history and what the law says and what the Supreme
[12:37.520 --> 12:41.000]  Court has said and the statutes say and the regs say and the treasury orders and the trust,
[12:41.000 --> 12:46.920]  and suddenly this whole world that you've never seen comes to life, and suddenly you
[12:46.920 --> 12:47.920]  know whodunit.
[12:48.920 --> 12:51.600]  So get a copy of Body Science for Income Tax Shattering the Mist.
[12:51.600 --> 12:56.200]  Get some fascinating, intriguing, awesome information that will, if you let it change
[12:56.200 --> 13:00.960]  your life, and in doing so, you help me to continue to be here for you.
[13:00.960 --> 13:01.460]  Thanks.