Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.960 --> 00:07.280] Pandemic of the Unvaccinated. How many times have we heard that slogan in the last couple of months? [00:07.280 --> 00:15.680] So then who are these people and where are these people and in what quantities do they exist? [00:15.680 --> 00:21.120] I will tell you the answers to those questions are nowhere near as simple and easy to find [00:21.120 --> 00:27.680] as the vaccine marketing slogan Pandemic of the Unvaccinated might suggest. [00:27.680 --> 00:33.840] So how well does Pandemic of the Unvaccinated stand up against math? [00:39.200 --> 00:42.080] The Doctor Reality Vodcast with Dave Champion. [00:50.560 --> 00:54.160] These presentations often begin with me in my head saying, [00:54.800 --> 00:59.760] you know, I can knock out this subject probably with about a page of bullet points. [01:00.400 --> 01:05.840] And yeah, it's almost always bullsh-t. It never turns out that way and it certainly didn't turn [01:05.840 --> 01:09.920] out that way with this presentation. So please bear with me. I'm going to try and run through [01:09.920 --> 01:14.080] the statistics, the numbers as quickly as possible so that we can get to the actual point. [01:14.080 --> 01:19.600] I want to start with these statistics, which are all current as of September 1, 2021. [01:20.480 --> 01:25.840] I've said before the CDC has a metric for determining how many actual infections exist [01:25.840 --> 01:31.120] as opposed to infections we know about from PCR testing. So that's identified infections, [01:31.120 --> 01:35.920] those are verified by testing and unidentified infections. Those are the ones where people may [01:35.920 --> 01:40.480] have been infected or they were infected and nobody knows because they just didn't bother [01:40.480 --> 01:45.360] to get tested, usually because they were asymptomatic. Nevertheless, the CDC has a [01:45.360 --> 01:51.600] metric for determining that. They say for every one identified infection, there are four [01:51.600 --> 02:02.400] unidentified infections in the U.S. So using CDC's metric, there are 197,500,000 people with prior [02:02.960 --> 02:08.480] infection immunity. They've already been infected with SARS-CoV-2 at some point over the last 19 [02:08.480 --> 02:16.400] months. That is 59% of the U.S. population. Total vaccinations, again, as per the CDC [02:16.400 --> 02:28.080] and September 1, 2021, are 205,500,000. That makes a combined total of 403 million people, [02:28.080 --> 02:38.320] which is 69,700,000 or 21% more than the total population of the United States. So with 121% [02:38.320 --> 02:43.040] of the U.S. population either having prior infection immunity or they've been vaccinated, [02:43.600 --> 02:48.560] who are all these unvaccinated people, government, and media is constantly going on about? Well, [02:48.560 --> 02:54.960] we could probably discern that answer by looking at the number of people who were previously [02:54.960 --> 03:01.040] infected with SARS-CoV-2 and then went out and got the vaccine. So there would be an overlap [03:01.040 --> 03:05.920] and that overlapping section would then constitute the disparity would clarify the size of each [03:05.920 --> 03:12.160] group. That would be some good information to know, yes? Yeah, it would. And you can't know [03:12.720 --> 03:17.680] because CDC isn't providing that data. And providing that data would be simple enough. [03:18.480 --> 03:29.360] As of September 1, 2021, CDC says there are 39.5 million Americans with identified infections. So [03:29.360 --> 03:33.600] you start with something you know, the identified infections. And the CDC has a record of who all [03:33.600 --> 03:38.800] those people are. And the CDC has a record of all the people who've been immunized, who've been [03:38.800 --> 03:44.320] vaccinated. So all the CDC has to do is run a computer analysis that tells them what [03:44.320 --> 03:50.720] percentage of those with identified prior SARS-CoV-2 infections have become vaccinated after they were [03:50.720 --> 03:55.920] infected. And in fact, I'm absolutely confident CDC has done that because it's a critical data [03:55.920 --> 03:59.440] point. I mean, if I was in charge of the CDC or if you were in charge of the CDC, that's a piece [03:59.440 --> 04:04.960] of data we would want. So we would run that analysis, except CDC doesn't want the American [04:04.960 --> 04:10.400] people to know the result of that analysis. If the CDC were to make that data public, then [04:10.400 --> 04:14.640] everyone who has the data would be able to extrapolate from those known numbers to the [04:14.640 --> 04:21.760] larger societal totals. That could be very disadvantageous to the vaccine marketing [04:21.760 --> 04:27.760] narrative. Have you ever wondered how the U.S. government pronounces that a particular variant [04:27.760 --> 04:32.400] has reached a state where they call it dominant? Or they'll say, well, this particular variant's [04:32.400 --> 04:37.280] at 9% of the population and this variant is now found in 39% of the population and so forth. [04:37.280 --> 04:41.120] You've probably seen that in the news. Have you ever wondered how those numbers come about? [04:41.120 --> 04:45.920] Do you think they are sequencing for variant identification every single sample that's taken [04:45.920 --> 04:50.000] from every single American? No, absolutely not. What we do here in the United States is we sequence [04:50.000 --> 04:57.600] for variant identification 1.4% of all samples. That's it, 1.4. And then based on that 1.4% [04:57.840 --> 05:04.480] of all samples, then the government extrapolates that to the rest of the population. So yes, [05:04.480 --> 05:09.360] the government's already taking small numbers, small representative samples, and then extrapolating [05:09.360 --> 05:15.680] to the larger population. So clearly, this is not a novel concept to the CDC, and I'm absolutely [05:15.680 --> 05:20.400] confident they're doing that in terms of identified infections and how many people who have been [05:20.400 --> 05:25.520] previously infected have gotten vaccinated. Not only is it incredibly logical, but it's also [05:25.520 --> 05:31.600] really, really easy. We also don't need to rely on historical data. What the CDC could do, again, [05:31.600 --> 05:37.120] if it wanted to, like it doesn't want to release the data it already has, if it wanted to, it could [05:37.120 --> 05:41.920] ask for volunteers, one-person volunteers, just before they get the jab, they would have a blood [05:41.920 --> 05:46.480] draw and they would take that blood draw and they would do a memory T cell test on it, which would [05:46.480 --> 05:51.680] determine if at any time in the last 19 months that person had prior infection before getting the [05:51.680 --> 05:57.440] vaccine, then they could extrapolate from the 1% of people who volunteer. If they're extrapolating [05:57.440 --> 06:01.920] for the entire country concerning variant prevalence, at 1.4%, they could certainly [06:01.920 --> 06:06.560] extrapolate from 1% concerning how many people who are getting vaccinated moving forward from the time [06:06.560 --> 06:12.160] they made the time they would make such a decision, how many people have prior infection, and then [06:12.160 --> 06:16.080] perhaps they don't even know they were infected. Maybe they were asymptomatic or perhaps they had [06:16.080 --> 06:19.840] something and they're like, it's such a little trivial thing. I have the sniffles. They never [06:19.840 --> 06:24.880] went and got tested. So this would give us a current reading on that, a current percentage. [06:24.880 --> 06:29.040] CDC could do that for 30 days, do the extrapolation, present the data to the American people. [06:29.920 --> 06:36.080] Not holding my breath. I'm not holding my breath because CDC has a policy that it doesn't run [06:36.640 --> 06:40.640] public studies. It might do them in private, but it's not going to run them and let the public know [06:40.640 --> 06:46.400] about studies if the results of those studies may undermine the CDC's public narrative. But that [06:46.400 --> 06:50.320] doesn't mean you and I can't look at the numbers today. Let's start with the figure we mentioned [06:50.320 --> 06:55.680] earlier that 197,500,000 Americans have previously been infected with SARS-CoV-2 and therefore they [06:55.680 --> 07:02.480] have prior infection immunity. You know, there was a study maybe 60 days ago out of Israel [07:03.120 --> 07:10.800] that stated that the odds of becoming reinfected from SARS-CoV-2 once you've already been [07:10.800 --> 07:17.920] naturally infected and have prior infection immunity was eight one-thousandths of one percent. [07:17.920 --> 07:21.600] Obviously pretty crazy good, right? Okay, so then I was just reading another study like, [07:21.600 --> 07:26.400] you know, four or five days ago, and that study said the odds of getting reinfected if you [07:26.400 --> 07:30.800] already have prior infection immunity is one-tenth of one percent. Okay, so that is a [07:32.080 --> 07:36.160] rules apart difference, right? Just crazy difference. Doesn't even make any sense. [07:36.800 --> 07:42.720] But for the purpose of today, we're going to run with the bad one, which is one-tenth of one percent. [07:42.720 --> 07:46.640] One-tenth of one percent is really, really good. And that's the worst estimate that's out there, [07:46.640 --> 07:52.640] right? With one-tenth of one percent, it's almost statistically zero. I mean, it's really good. [07:52.640 --> 07:56.800] And my point sharing those numbers with you is that if we want to take a look and we want to drill [07:56.800 --> 07:59.200] down the numbers as we talked about at the beginning, we're going to find out actually [07:59.200 --> 08:02.960] these unvaccinated people. Who are they? Where are they? How many of them are there? We have to [08:02.960 --> 08:06.960] start by acknowledging that when we take a look at the total population of the United States, [08:06.960 --> 08:10.320] we need to take a hundred and ninety-seven million, five hundred thousand people and [08:10.320 --> 08:16.800] completely remove them from the equation. Vaccinated or not, they need to be removed [08:16.800 --> 08:20.560] from the equation because they have prior infection immunity, so they are not becoming [08:20.560 --> 08:23.440] infected. And if they are not infected, they cannot infect others. In other words, [08:23.440 --> 08:27.920] as far as SARS-CoV-2 and the whole, whatever you want to call it, event, epidemic, pandemic, [08:27.920 --> 08:33.120] whatever, they are no longer even on the playing field. So if we take the total population of the [08:33.120 --> 08:36.800] United States and we remove one hundred and ninety-seven million, five hundred thousand, [08:36.800 --> 08:41.520] we're left with one hundred and thirty-five million, eight hundred thousand without prior [08:41.520 --> 08:46.320] infection immunity. So how many of them have been vaccinated? Of that one hundred and thirty-five [08:46.320 --> 08:51.600] million, eight hundred thousand, how many have been vaccinated? Ten percent? Ninety percent? [08:51.600 --> 08:56.560] Fifty percent? We don't know because CDC isn't giving us the numbers. You see the problem with [08:56.560 --> 09:01.120] CDC gathering this data and then not sharing it with us. The difference between ten percent [09:01.120 --> 09:06.720] of those people being vaccinated and ninety percent of those people being vaccinated is [09:06.720 --> 09:14.960] huge. To not gather that sort of information would be... the phrase grossly irresponsible [09:14.960 --> 09:21.280] would be an all-time understatement. So does CDC Director Rochelle Walensky, does she know that [09:21.280 --> 09:24.800] not gathering that data would be grossly irresponsible? Of course she does. She's a [09:24.800 --> 09:30.960] professional epidemiologist, which is why I'm 100% confident CDC has gathered that information. [09:30.960 --> 09:35.920] They have done the analysis and they do have the answers that would be useful for us to have. But [09:36.480 --> 09:43.360] for some reason, CDC has decided you and I cannot have access to that data. So a CDC Director [09:43.360 --> 09:50.000] Walensky keeping the actual data from the American people, how can we estimate the number of people [09:50.000 --> 09:57.120] in that remaining pool, 135,800,000, how can we estimate the percentage that have been vaccinated? [09:57.120 --> 10:02.480] The best way I can come up with is to use the September 1st, 2021 CDC estimate of the percentage [10:02.480 --> 10:09.040] of Americans generally in the general population that have already been vaccinated and that is [10:09.040 --> 10:18.560] 62.6%. So if we apply that general percentage to the equation we're working on, that tells us that [10:18.560 --> 10:27.120] 85 million of that larger number have been vaccinated, leaving us with the unvaxxed and [10:27.120 --> 10:36.480] no prior immunity infection at 50,800,000, which is 15% of the total U.S. population. [10:36.480 --> 10:42.320] Let's put that 15% out of view for a moment and discuss Israel. Data out of Israel not long ago [10:42.320 --> 10:48.400] shows that roughly 50% of its new daily infections are from people who are vaccinated. That's one of [10:48.400 --> 10:53.920] the reasons they're going for the third shot, otherwise known as the second booster. Yeah, [10:53.920 --> 10:58.240] that's not really going to help them out in the long run, but that's for another presentation. [10:58.240 --> 11:07.200] So out of 9 million Israelis, 6 million are vaccinated and yet half of their new daily [11:07.200 --> 11:13.360] infections come from that vaccinated pool. Let's apply the Israeli experience of 50% [11:13.360 --> 11:16.720] of all new daily infections coming from people who are vaccinated to the United States. [11:17.680 --> 11:28.400] From July 20th to August 17th, the U.S. added 3,500,000 new infections. That means over that [11:28.400 --> 11:36.240] 28-day period, 1,750,000 infections came from people who were vaccinated and an equal amount [11:36.240 --> 11:42.640] came from, in theory, the 15% who are not vaxxed and have no prior infection immunity. By the way, [11:42.640 --> 11:49.280] that date ranged July 20th to August 17th. I've used that because of that 28-day period, [11:49.280 --> 11:54.160] which was this meteoric rise in new daily infections in the United States, I actually [11:54.160 --> 12:00.080] went through the data day by day by day by day by day and added up the new daily infections [12:00.080 --> 12:07.280] every day for those 28 days and it came out to 3,500,000. Here's another stat. The very highest [12:07.280 --> 12:14.240] number of daily new infections in the United States took place on January 8th, 2021. 301,000 [12:14.240 --> 12:23.920] infections on that single day with 98% of the U.S. public not vaccinated. Not only was 98% [12:23.920 --> 12:29.920] not vaccinated, by the narrative we're given from the establishment, most of that 2% had not yet [12:29.920 --> 12:36.240] developed whatever level of immunity the vaccine imparts. In that sense, it would probably be more [12:36.240 --> 12:44.240] realistic to say that on January 8th, 99% of the U.S. public was not vaccinated and the highest [12:44.240 --> 12:52.400] ever number of infections, 301,000. Then we shift to summer. The second highest number of [12:52.400 --> 12:59.760] infections in a single day in the United States history of the SARS-CoV-2 outbreak is 208,400 [12:59.760 --> 13:08.880] on August 30th with 15% of the U.S. population not vaccinated. To believe the pandemic of the [13:08.880 --> 13:17.920] unvaccinated narrative, we would have to believe that in August, 50,800,000 Americans created [13:17.920 --> 13:26.480] nearly the same amount of infections in a single day as 326,300,000 did back in January. [13:26.480 --> 13:30.400] Phrased another way, in order to believe the narrative, you would have to believe that 85% [13:31.360 --> 13:36.960] fewer unvaccinated people created nearly the same number of infections. Here's another piece [13:36.960 --> 13:41.360] of information for you. With government and media screaming that this is a pandemic of the [13:41.360 --> 13:45.600] unvaccinated, no one in authority, whether it's CDC, National Institutes of Health, [13:46.560 --> 13:51.280] big medical chains, hospitals giving stats out at a press conference, none of them, [13:51.280 --> 13:58.720] not one single person ever has said that hospitalizations are involving people who are [13:58.720 --> 14:08.320] unvaccinated with prior infection immunity. Zero. None. I think that's a pretty significant [14:08.320 --> 14:17.760] and really important distinction. These facts are so evident that Pfizer's CEO, maybe I should say [14:17.760 --> 14:23.360] even Pfizer's CEO, made a public statement, and as I'm recording this probably four or five days [14:23.360 --> 14:29.920] ago, in which he said the government's policy concerning vaccination should take into account [14:29.920 --> 14:35.920] people with prior infection immunity because prior infection immunity is so much better and [14:35.920 --> 14:44.000] stronger than any would be immunity from the vaccine. And by so much stronger, I mean that [14:44.000 --> 14:52.160] a study out of Israel probably a week ago said that prior infection immunity is 13 times better [14:52.720 --> 14:58.480] than the immunity such as it is that you get from the vaccine. One thing is crystal clear. Whether [14:58.480 --> 15:04.720] new daily infections coming from people who are vaccinated constitutes 25% of the population, [15:04.720 --> 15:10.720] as was recently said by the Los Angeles County Health Department, whether it's 50% out of Israel, [15:10.720 --> 15:16.000] whether it's as high as 80% out of some other jurisdictions, whether it's 25, 50, 80, what is [15:16.000 --> 15:24.720] crystal clear is this is not, absolutely 1000%, not a pandemic of the unvaccinated. And most [15:24.720 --> 15:31.760] disturbingly, that mantra, that vaccine sales pitch does not address in any way, shape, or form [15:31.760 --> 15:36.160] and leaves out of the consciousness of the people who hear it the reality that people with prior [15:36.160 --> 15:43.600] infection immunity are basically off the SARS-CoV-2 epidemic playing field. They are done and out. [15:43.600 --> 15:49.040] And I find it really disturbing that I'm the guy sitting here telling you this rather than Fauci, [15:49.040 --> 15:54.640] rather than Walensky, because they know it just as I know and just as I've shared here with you today. [15:54.640 --> 15:59.920] And as public officials, both of them owe a duty to the United States to make sure that their [15:59.920 --> 16:05.520] message is factual, accurate, and clear and conveys what is really going on. And neither [16:05.520 --> 16:10.640] of them are fulfilling that obligation. If you appreciate this sort of rational and logical [16:10.640 --> 16:15.920] breakdown, go to DrReality.News, grab yourself a copy of Income Tax Shattering the Medicine or [16:15.920 --> 16:21.120] Body Science by purchasing one of these two books or both, which will be the most fascinating books [16:21.120 --> 16:26.880] you've ever read in your life. You have my word on that. You will help me to continue to be here [16:26.880 --> 16:30.880] for you. And I'm not doing that kind of stuff where I say, hey, will you contribute financially [16:30.880 --> 16:35.760] to what I'm doing. I'm saying let's have an exchange of value where you're winning because [16:35.760 --> 16:39.920] I assure you when you purchase Body Science, you purchase Income Tax Shattering the Medicine, [16:39.920 --> 16:46.080] the money that you spend on either of those books will be just infinitesimal in comparison to the [16:46.080 --> 16:51.760] value you get from them. Spend a few bucks on these books. It will be incredibly valuable to [16:51.760 --> 16:56.160] you and will change your life if you let them. Thanks for being here.