Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.480 --> 00:07.440] I'm Dave Champion. The media is making some pretty crazy claims about the number of people [00:07.440 --> 00:17.440] infected with SARS-CoV-2. I posted something on the Dr. Reality page back around December 7th, [00:17.440 --> 00:24.400] pertaining to a headline from December 6th. I don't often just read things to you, [00:24.400 --> 00:28.640] but this is a rather detailed written out presentation on my part that has a lot of [00:28.640 --> 00:35.040] math in it. So I am going to take just a couple moments and read to you from that December 7th [00:35.040 --> 00:40.800] post because it's relevant to a headline that just came out a day or two ago. [00:48.400 --> 00:53.200] So here's what I wrote out on the Dr. Reality page on Facebook back on December 7th, [00:54.000 --> 01:02.720] headline, one million new cases in the United States in only five days. That was the headline [01:02.720 --> 01:10.000] to which I was referring. I said, does anyone do math anymore? At least one team of researchers [01:10.000 --> 01:17.600] determined that for every one identified infection, there are 10 unidentified infections. Actually, [01:17.600 --> 01:21.600] the number was like 9.8, but I'm rounding it up to 10 for the simplicity of math. [01:22.240 --> 01:29.600] I added a note that I believe at this point in history, we're closer to 20 unidentified [01:29.600 --> 01:33.600] cases for every one identified case, but we're just going to run with what the researcher said, [01:33.600 --> 01:39.440] which was for every one identified case, 10 people have been infected and yet not identified [01:39.440 --> 01:45.680] by the government through testing or what have you. Continuing, as of today, the official total [01:45.680 --> 01:52.320] number of identified infections, so again, this was December 6th or 7th, since the beginning of [01:52.320 --> 02:02.160] the outbreak is 14,800,000. That means excluding unidentified infections, the number of people in [02:02.160 --> 02:13.120] the US not identified as having been infected with SARS-CoV-2 is 313,200,000. So if the US is [02:13.120 --> 02:20.800] indeed adding a million new identified infections every five days and we multiply that by the [02:20.800 --> 02:30.640] research team's factor of 10, then 10 million are being infected every five days. If 10 million [02:30.640 --> 02:37.680] people are being infected every five days, then in five months, the US will be done with this outbreak [02:37.680 --> 02:46.560] because everyone will have had it. But, and this is a huge but, the fact of the matter is that [02:46.560 --> 02:53.200] dramatically more people have been infected than those who have been tested. Exactly how many more? [02:53.920 --> 03:00.400] The exact number is unknowable. Let us imagine that since the start of the outbreak, only 10 [03:00.400 --> 03:06.080] unidentified infections occurred for every one identified infection. I have a note here, only 10 [03:06.080 --> 03:11.200] is of course ridiculous because the virus was spreading long before the government got any sort [03:11.200 --> 03:19.840] of meaningful testing up and running. Nevertheless, let's run with 10. That would mean 148 million [03:19.840 --> 03:28.320] Americans have already been infected. That would leave a remainder of 180 million. At 10 million [03:28.320 --> 03:34.640] new total infections a day, identified and unidentified, that means the SARS-CoV-2 outbreak [03:34.640 --> 03:43.280] would be over in the United States in 90 days because everyone will have had it. Okay, so that [03:43.280 --> 03:49.200] was from December 6th or 7th. I think the headline was from the 6th. My post was from the 7th. Now, [03:49.920 --> 03:55.360] onto the headline. Actually, it wasn't a headline. It was a characterization within a CNN article, [03:55.360 --> 04:03.680] and the characterization was this, quote, the country added one million cases in just four days. [04:03.680 --> 04:10.400] Okay, so back on December 6th, the headline was that the United States had added a million new [04:10.400 --> 04:17.920] daily infections in five days. Now, just six days later, the claim is the United States added a [04:17.920 --> 04:23.040] million in just four days. Let's do a little math just like we did before. This is going to be the [04:23.040 --> 04:32.240] math as of today while I'm filming this, which is December 16th. So as of December 16th, the number [04:32.240 --> 04:39.520] of identified infections in the United States, according to the government, not me, is 16 million [04:39.520 --> 04:45.040] 900,000. So if we take that factor of 10 from the research team where they said for every one [04:45.040 --> 04:50.000] identified, there's 10 unidentified. Okay, so if we use that factor of 10, that means instead of [04:50.000 --> 04:58.000] 16 million 900,000, we actually have 169 million Americans that have been truly actually infected [04:58.000 --> 05:06.160] with SARS-CoV-2. Now, if we take the total U.S. population as of today, which is 331 million, [05:06.960 --> 05:15.040] and we subtract the 169 million of people who have been actually infected, identified, and [05:15.040 --> 05:25.520] unidentified cases, then the remainder is 162 million Americans. That would be the percentage [05:25.600 --> 05:29.920] of Americans who, as we go through these math numbers, this would be the pool that has not [05:29.920 --> 05:38.640] yet been infected. Okay, so again, if we're adding known numbers, because we're adding a million [05:38.640 --> 05:43.120] every four days, and we use that factor of 10, right, for every one that's identified, there's [05:43.120 --> 05:52.800] 10 that aren't identified. So we're adding, again, 10 million people a day. That is 16.4 [05:53.040 --> 05:59.040] four-day periods, each four-day period, adding 10 million new people. And that comes out to [05:59.040 --> 06:08.240] 64.8 days. We're going to round that up to 65 days for the sake of convenience. So what that means, [06:09.120 --> 06:18.640] if we listen to the media, is that by February 19th, right there, February 19th, [06:18.640 --> 06:23.600] February 19th, we're done with the SARS-CoV-2 outbreak in the United States, because as of [06:23.600 --> 06:30.160] that date, 100% of the U.S. population will have had it. And as you well know, if 100% of the [06:30.160 --> 06:35.280] population hasn't, then 100% of the population has immunity. So then a couple of questions. First of [06:35.280 --> 06:43.520] all, vaccine? What vaccine? Okay, so that's the first thought. The second thought is, why aren't [06:43.520 --> 06:48.240] we hearing this from any of the medical experts? Why aren't we hearing this from the media? I mean, [06:48.240 --> 06:53.520] if you've got a team of researchers saying, look, we have determined that for every one person [06:53.520 --> 07:00.320] that's infected, there are 10 people who are also infected that we don't know about. I'm not the [07:00.320 --> 07:05.680] only guy who read that research paper, right? I'm sure people at the CDC read it. I'm sure people [07:05.680 --> 07:10.000] at the National Institutes of Health have read it. I would hope some of these people advising these [07:10.000 --> 07:16.160] governors would have read it. Maybe health reporters. Who's that guy? Sanjay Gopad or [07:16.160 --> 07:21.360] whatever his name is. Yeah, the guy who's, he's a doctor, but he's not really a doctor. He's really [07:21.360 --> 07:28.480] a propagandist is what he is for CNN. I mean, I'm sure Gopad has read this, okay? So my question is, [07:29.520 --> 07:35.840] if they've read the report for every one known infection, there are 10 other people infected [07:35.840 --> 07:40.800] we don't know about, then why aren't they sharing with you what I'm sharing with you here? What was [07:40.800 --> 07:50.560] the date? February 19th. According to the media, in conjunction with scientific research team's [07:50.560 --> 08:04.160] conclusions, then we are going to be done with SARS-CoV-2 on February 19th. Isn't that great?