Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.800 --> 00:08.880] I'm Dave Champion. Social media is ablaze with a characterization of a CDC report, [00:08.880 --> 00:14.320] and that characterization is that of all the people who've never worn a mask, [00:15.760 --> 00:22.400] only 4% have gotten the SARS-CoV-2 virus, and of this giant amount of people who've [00:23.120 --> 00:29.440] always worn a mask, 70% were infected, and of course we know this is true because [00:30.800 --> 00:32.080] it's on social media. [00:40.080 --> 00:47.520] Virtually 100% of what's going around on social media is being driven by articles in the [00:48.080 --> 00:52.880] media, of which this is one example, and this story here that you're looking at the headline, [00:54.240 --> 01:00.480] it's eight paragraphs, and that's what people read, and they take away these little quotes, [01:00.480 --> 01:04.080] and they go on social media, and oh my god, oh my god, in most cases they don't even understand [01:04.080 --> 01:11.680] what the hell they just read, even the eight paragraphs. Now by comparison, this is the actual [01:11.680 --> 01:22.400] CDC report, yeah, and that's 10 pages, of which I have read every single one. So how many people [01:22.400 --> 01:29.360] posting on social media do you believe even know where to go find this study? No less would take [01:29.360 --> 01:35.520] time out of their lives to read the entire study. If you said zero, you're probably really, really, [01:35.520 --> 01:40.000] really, really in the ballpark. So if we don't want to believe all the social media garbage, [01:40.480 --> 01:45.920] which I'd say is wise, what does the report actually say? So first of all, we need to take [01:45.920 --> 01:51.040] a look at the framework, what they were, who they were working with, and then we'll talk about [01:51.920 --> 01:55.920] what they found, and then we'll talk about conclusions. So the first thing is, [01:56.720 --> 02:06.800] they took about 330 people that had visited 11 different outpatient clinics, all of them, [02:06.800 --> 02:10.720] I think this is an important part, all of them having gone to these outpatient clinics [02:11.920 --> 02:17.440] symptomatic. In other words, they went there because they had some symptom or other and [02:17.440 --> 02:24.560] wanted to know if they had SARS-CoV-2 on them. For the purpose of the report, the researchers [02:24.560 --> 02:30.160] broke that pool that went to these 11 different outpatient clinics because they were symptomatic [02:30.160 --> 02:39.760] of something, and they broke them into two separate categories. One category were those [02:39.760 --> 02:47.280] that tested positive for the presence of SARS-CoV-2. The other group are people who tested [02:47.280 --> 02:55.120] negative for the presence of SARS-CoV-2. So you had this one big pool that's comprised of people [02:55.120 --> 03:01.520] who have some symptom of something and went down to the outpatient clinic, and then we take a look [03:01.520 --> 03:06.080] within that pool, we say, okay, these guys over here came up positive, these guys come up here [03:06.080 --> 03:13.600] negative, okay, that's where the framework is. Leaving social media pundits out of it and all [03:13.600 --> 03:21.200] their crazy statements, erroneous conclusions, what I find fascinating is when you look at this [03:21.200 --> 03:25.680] category, the people who tested positive in this category, the people who tested negative, and they [03:25.680 --> 03:32.080] ask the people, do you never wear a mask? Do you sometimes wear a mask? Do you often wear a mask? [03:32.080 --> 03:36.400] Do you always wear a mask? So as you go, and there's I think one more category and then I forget the [03:36.400 --> 03:43.200] language, but as you go down each of these groups for that exact same question, the percentages [03:43.840 --> 03:50.000] are virtually identical. For the purpose of this video, and to keep it relatively short, [03:50.000 --> 03:55.360] we're only going to look at never wear a mask and always wear a mask. We're not going to look [03:55.360 --> 04:01.680] at the three or four particulars in between. So let's start with this. Of those people who tested [04:02.480 --> 04:12.480] positive, 3.9% said they never wore a mask. Of those who tested negative, [04:13.440 --> 04:24.400] 3.1% said they never wore a mask. Of those who tested positive and said they always wear a mask, [04:25.680 --> 04:37.040] 70.6%. Of those who tested negative and said they always wear a mask, 74.2%. [04:37.040 --> 04:42.800] To provide a visual summary of what I just said orally, it looks like this. [04:51.520 --> 04:57.920] I think the important and intriguing takeaway from this CDC report is that whether you test [04:57.920 --> 05:07.120] positive or whether you test negative, how many people always wear a mask or never wear a mask or [05:07.120 --> 05:15.120] any place in between is identical in those two pools. And I think the inescapable conclusion of [05:15.120 --> 05:24.880] that, inescapable conclusion for a rational person is that your chances of being infected with SARS [05:24.880 --> 05:32.240] CoV-2 are virtually identical, whether you wear a mask or whether you don't wear a mask. [05:32.800 --> 05:39.760] Do I imagine that these tyrannical governors who are exercising emergency powers and oppressing [05:39.760 --> 05:43.920] the rights and freedoms of their people are going to see this study? Because it's everywhere, right? [05:43.920 --> 05:49.120] Are they going to see this and suddenly rescind their mask mandates? No, I can't imagine they [05:49.120 --> 05:55.200] would do that because it's not about science for them at all. If it was about science, this report [05:55.200 --> 06:02.960] would be highly persuasive, maybe not definitive, but incredibly persuasive in telling those [06:02.960 --> 06:10.240] governors the mask orders are just ridiculous because if your citizens wear a mask or your [06:10.240 --> 06:16.160] citizens don't wear a mask, their odds of getting infected with SARS CoV-2 are essentially identical. [06:16.800 --> 06:20.240] Since I don't believe it's going to have any effect on tyrannical governors, [06:20.960 --> 06:26.080] where do I see the benefit? Well, first of all, education, right? So now you know something you [06:26.080 --> 06:31.360] didn't know before. You know a really important fact about the whole mask wearing and infection [06:31.360 --> 06:36.720] rate. So, okay. Where I think this is really going to have value, though, is in a courtroom. [06:36.720 --> 06:43.360] Because if somebody sues a governor over a mask order, what's the governor going to say? One of [06:43.360 --> 06:49.600] the standards that courts apply when you're suppressing or oppressing people's rights, [06:49.600 --> 06:56.960] one of the standards that a court applies is have you done it arbitrarily and capriciously? That's [06:56.960 --> 07:03.680] a phrase, arbitrarily and capriciously. In other words, there has to be some concrete reason, [07:04.400 --> 07:12.320] a compelling state interest based on some factual data when you suppress or opress the [07:13.280 --> 07:20.800] rights of the people within your jurisdictions. In light of this CDC report, what's any governor, [07:20.800 --> 07:24.560] will the attorney general acting on behalf of the governor, what's that state's attorney general [07:24.560 --> 07:29.120] going to say if somebody drags him into court for the mask order and holds up this report? [07:29.120 --> 07:35.600] Since the rates are identical, your honor, is there conflicting data with which the AG [07:35.600 --> 07:44.000] for the governor could argue in opposition? No, there isn't. In fact, in the 100 years [07:44.000 --> 07:51.120] between the time the very first research was done on pandemics and wearing a mask, [07:51.920 --> 08:01.440] to this very day, do you know how many studies have concluded that wearing a mask, any mask [08:01.440 --> 08:09.120] whatsoever of any kind, any material, that it slows or stops the spread of a virus? How many [08:09.120 --> 08:17.040] would you guess? If you said zero over 100 years, you would be correct. My point in that is that if [08:17.040 --> 08:21.520] somebody takes this particular report we're talking about today, waltzes into court and says, look, [08:21.520 --> 08:28.960] your honor, the CDC says the rates are identical, mask or no mask, what are we doing? And the judge [08:28.960 --> 08:33.520] turns around and says, Mr. Attorney for the state, or Miss Attorney for the state, [08:34.480 --> 08:40.640] do you have rebuttal? Well, your honor, you know, the governor has the power vested in him by the [08:40.640 --> 08:47.200] legend. No, no, no, no, no, no. Stop, stop. Do you have any evidence for me? [08:50.960 --> 08:56.800] That's about all the judge would get because there is no evidence. It is arbitrary and capricious. [08:56.800 --> 09:05.120] It's political correctness running amok, masquerading as science. And I just shared with [09:05.120 --> 09:11.200] you the science isn't there. And now we have the CDC study to say that the rates mask or no mask [09:11.200 --> 09:20.240] are virtually identical.