Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.000 --> 00:03.640]  Warning, the following show contains explicit language.
[00:03.640 --> 00:07.760]  Certain people should not listen to this show, such as children and panty waste adults who
[00:07.760 --> 00:15.400]  cry like 12-year-old little girls when they hear profanity.
[00:15.400 --> 00:18.660]  Welcome back, my friends, to the Dr. Reality Podcast.
[00:18.660 --> 00:20.560]  I'm Dave Champion.
[00:20.560 --> 00:24.960]  Who is really spreading SARS-CoV-2?
[00:25.960 --> 00:32.280]  When we look at a logic-based answer to that question, the United States government has
[00:32.280 --> 00:35.780]  a pretty significant math problem.
[00:35.780 --> 00:41.440]  People can hold whatever opinions they want, but math does not lie.
[00:41.440 --> 00:48.400]  There is so much going on right now with SARS-CoV-2, Delta in particular, the vaccination narrative
[00:48.400 --> 00:51.920]  that I am literally deluged with information and data.
[00:51.920 --> 00:57.240]  There is so much data that what I've decided to do is make several shorter videos because
[00:57.240 --> 01:01.720]  if I took all of the relevant information and put it in one video, it would be extremely
[01:01.720 --> 01:03.640]  long, prohibitively long.
[01:03.640 --> 01:09.400]  Few people want to sit and listen to an hour-long podcast or watch an hour-long presentation
[01:09.400 --> 01:10.400]  on YouTube.
[01:10.400 --> 01:13.200]  So instead, I'm going to cut them into smaller pieces.
[01:13.200 --> 01:18.360]  Today's is going to be the first I encourage you to listen to or watch the following several
[01:18.360 --> 01:21.960]  presentations that will be up within the next week.
[01:21.960 --> 01:25.640]  When you take the facts and data from all those presentations and you put them together,
[01:25.640 --> 01:29.160]  I think you're going to be fascinated with the outcome.
[01:29.160 --> 01:31.220]  So on with looking at the government's math problem.
[01:31.220 --> 01:37.120]  All the numbers I'm going to share with you today are current as of August 7, 2021.
[01:37.120 --> 01:45.440]  As of that date, the population of the United States is 331,162,228.
[01:45.440 --> 01:49.480]  On that day, the United States government claims 59.2% of the American public is vaccinated,
[01:49.480 --> 01:55.080]  which equals 197,232,039.
[01:55.080 --> 02:06.240]  So in theory, that number, 197,232,039, Americans have immunity to the SARS-CoV-2 virus.
[02:06.240 --> 02:09.400]  Because that's what a vaccine does, right?
[02:09.400 --> 02:12.040]  It creates immunity, yes?
[02:12.040 --> 02:16.560]  If not, perhaps we should stop calling it a vaccine.
[02:16.560 --> 02:19.820]  The next block of numbers is how many people in the United States have been identified
[02:19.820 --> 02:22.280]  as having already been infected.
[02:22.280 --> 02:29.520]  Then we take that number and we use the government's own equation to reach the projected number
[02:29.520 --> 02:32.060]  of total people infected.
[02:32.060 --> 02:36.720]  The number of people as of August 7, the United States government has identified as being
[02:36.720 --> 02:41.740]  infected is 35,800,000.
[02:41.780 --> 02:47.980]  If we use the CDC's formula, which is that for every one identified infection, there
[02:47.980 --> 02:51.140]  are four unidentified infections.
[02:51.140 --> 02:56.020]  I should stop for a moment and say the CDC's estimate, one to four, is the lowest of every
[02:56.020 --> 02:59.700]  single research document that's ever come out on the subject.
[02:59.700 --> 03:03.620]  Most of them are well above, for some of them, as high as nine.
[03:03.620 --> 03:05.820]  For every one identified, nine unidentified.
[03:05.820 --> 03:10.460]  The very lowest one ever is CDC's.
[03:10.460 --> 03:11.700]  So we're going to use that.
[03:11.700 --> 03:15.060]  We're going to use the very lowest estimate, which comes from the CDC.
[03:15.060 --> 03:20.020]  So if it's a one to four ratio, then we have to take that number, 35,800,000, and we have
[03:20.020 --> 03:26.820]  to multiply it by five to get the total number of people who the CDC believes have had a
[03:26.820 --> 03:33.020]  prior infection, which leads us to the total that the CDC would tell you has already been
[03:33.020 --> 03:39.100]  infected with SARS-CoV-2 in the United States, 179 million people.
[03:39.580 --> 03:47.060]  We know that virtually 100% of the people with a prior infection are immune from getting
[03:47.060 --> 03:52.560]  the virus, and if you can't get the virus, you can't give the virus, right?
[03:52.560 --> 03:56.820]  We know the immunity that comes from prior infection is pretty darn close to 100%.
[03:56.820 --> 04:02.100]  It's not 100%, let me be clear, but when we look at the entire planet, everything that
[04:02.100 --> 04:07.540]  science knows, everything that we're doing, that thing which has the very highest level
[04:07.540 --> 04:14.060]  of immunity to SARS-CoV-2, and it's almost 100%, is prior infection.
[04:14.060 --> 04:17.860]  If we take the total number of people in the United States the government says have been
[04:17.860 --> 04:24.780]  vaccinated and therefore theoretically have immunity to SARS-CoV-2, and then we take all
[04:24.780 --> 04:28.780]  of the people that the government says have already been infected with SARS-CoV-2 so we
[04:28.780 --> 04:38.500]  know they have immunity, that equals 376,232,039.
[04:38.500 --> 04:51.060]  That is 43 million, 43 million more people than exist in the United States at this time.
[04:51.060 --> 04:54.480]  Of course, an unknown, as we're throwing these numbers around, is how many people were infected
[04:54.480 --> 04:58.920]  with SARS-CoV-2 at some point and decided to get vaccinated anyway.
[04:58.920 --> 05:03.600]  I don't think it's 43 million.
[05:03.600 --> 05:05.020]  Let me present you with a question.
[05:05.020 --> 05:07.560]  If all of the people who've been vaccinated in the United States and all of the people
[05:07.560 --> 05:13.680]  who've had prior infections in the United States constitute 43 million people more than
[05:13.680 --> 05:21.480]  reside in the United States, who then are all these unvaxxed people that the government
[05:21.480 --> 05:23.360]  keeps running its mouth about?
[05:23.360 --> 05:31.280]  I think logic dictates the vast majority of the unvaccinated are within the prior infection
[05:31.280 --> 05:37.560]  category who have virtually 100% immunity.
[05:37.560 --> 05:41.640]  In other words, they can't get SARS-CoV-2 and if they're not infected, they can't give
[05:41.640 --> 05:43.360]  it to anyone else.
[05:43.360 --> 05:46.560]  Are we detecting perhaps a problem with the government's narrative?
[05:46.560 --> 05:51.080]  We find ourselves in a very strange position and that is that according to the United States
[05:51.080 --> 05:56.960]  government, 54% of the American public has already been infected with SARS-CoV-2 and
[05:56.960 --> 06:05.160]  therefore has pretty close to 100% immunity and 59% of the American public has been vaccinated
[06:05.160 --> 06:12.440]  with a vaccine that according to the CDC, according to Director Walensky, when a vaccinated
[06:12.440 --> 06:20.400]  person becomes infected, they carry the same viral load as somebody who hasn't been vaccinated.
[06:20.960 --> 06:27.240]  Even vaccinated people don't seem to have much immunity from being infected.
[06:27.240 --> 06:34.360]  So when we consider the question of who is spreading the SARS-CoV-2 virus, we really
[06:34.360 --> 06:37.280]  have two groups to choose from.
[06:37.280 --> 06:44.840]  One is the prior infected group with nearly 100% immunity and then we have this 59% of
[06:44.840 --> 06:53.680]  the United States population that has taken a drug that the CDC admits doesn't seem to
[06:53.680 --> 07:00.760]  change the viral load at all and as we look at the data, doesn't seem to provide much
[07:00.760 --> 07:01.760]  immunity.
[07:01.760 --> 07:06.500]  Hmm, this kind of seems like a no-brainer to me.
[07:06.500 --> 07:10.720]  If you value these kind of presentations, do us all a favor, me and yourself, and go
[07:10.720 --> 07:16.000]  to DrReality.News, pick yourself up a copy of Body Science or Income Tax Shattering
[07:16.000 --> 07:22.480]  the Mist or the Payroll Withholding Guide or the W9 1099 Business Guide.
[07:22.480 --> 07:23.640]  It doesn't matter.
[07:23.640 --> 07:28.320]  That keeps me here so that I can present this sort of information to you.
[07:28.320 --> 07:32.760]  Also, these are going to be, no matter what you get, it's going to be one of the most
[07:32.760 --> 07:37.480]  fascinating things you have ever read in your life.
[07:37.480 --> 07:38.760]  My word to you.