Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.000 --> 00:04.360] Warning, the following show contains explicit language. [00:04.360 --> 00:08.480] Certain people should not listen to this show, such as children and panty waste adults who [00:08.480 --> 00:11.920] cry like 12-year-old little girls when they hear profanity. [00:11.920 --> 00:17.760] I'm Dave Champion, and today, March 17th, 2021, we are going to discuss states without [00:17.760 --> 00:21.560] mask orders, states with mask orders, and the efficacy of wearing masks or not. [00:21.560 --> 00:25.880] Now, you might be saying, Dave, you just said it's March 17th, 2021. [00:25.880 --> 00:28.800] We all know that cases are plummeting. [00:28.800 --> 00:30.960] They are plunging all across the nation. [00:30.960 --> 00:34.640] The United States had herd immunity back in early January. [00:34.640 --> 00:41.040] What the fuck are you doing talking about masks, non-mask wearing, the efficacy? [00:41.040 --> 00:45.520] On March 17th, when we all know this is all over, but the shouting, and you're not wrong, [00:45.520 --> 00:47.600] but I'm going to tell you why I'm doing it. [00:47.600 --> 00:51.480] This is going to be one of the last times I tackle this issue. [00:51.480 --> 00:52.480] There's a couple of reasons for it. [00:52.600 --> 01:00.240] First of all, I believe it's important to establish the record because this is not going [01:00.240 --> 01:05.120] to be the last contagious outbreak in the United States of something, right? [01:05.120 --> 01:10.760] It's not going to be the last outbreak, epidemic, pandemic, what have you. [01:10.760 --> 01:16.720] When we look at things like lockdowns and mask orders, is it not important for us to [01:16.720 --> 01:25.200] establish the record now on whether it was efficacious or whether it was not before we [01:25.200 --> 01:26.960] get to the next one? [01:26.960 --> 01:34.800] The second reason is that the governors, the federal government to a lesser extent, people [01:34.800 --> 01:42.680] like Fauci, current CDC director Rochelle Walensky, and a slew of others have spent [01:42.680 --> 01:49.000] a good portion of their time saying crap that was intended for no other purpose, no [01:49.000 --> 01:55.120] loftier purpose than creating fear in the minds of the American people. [01:55.120 --> 02:00.880] So I think it's important when this group over here is trying to gin up fear with anything [02:00.880 --> 02:06.640] and everything and they always use words like may, might, could, I'm concerned about, rather [02:06.640 --> 02:09.960] than this is going to happen, this is not going to happen. [02:10.000 --> 02:13.000] Like for instance in the case of Fauci, he's been wrong time and time and time and time [02:13.000 --> 02:18.720] and time again, but yet there's still idiots in the United States who worship every fucking [02:18.720 --> 02:20.280] word out of his mouth. [02:20.280 --> 02:23.360] So how do we overcome fear mongering? [02:23.360 --> 02:31.380] Well, in my opinion, we overcome it with facts, data, and evidence, which is what we're going [02:31.380 --> 02:32.920] to do today. [02:32.920 --> 02:38.360] And my goal is, my hope is that you'll find the information we're going to discuss today [02:38.360 --> 02:43.360] meritorious and you will share it with other people and thus we can ratchet down the fear [02:43.360 --> 02:47.440] created by these asshole fear mongers. [02:47.440 --> 02:54.040] Before I get into comparing states that have had mass quarters, states that have not had [02:54.040 --> 02:58.820] mass quarters, I want to just quickly run through the states that have either never [02:58.820 --> 03:05.840] had a mass quarter, have recently lifted their mass quarters, or are intending to lift their [03:05.840 --> 03:06.840] mass quarters. [03:06.840 --> 03:10.920] States that have never had a statewide mass quarter, Alaska, Arizona, Florida, Georgia, [03:10.920 --> 03:16.680] Idaho, Missouri, Nebraska, Oklahoma, South Carolina, South Dakota, and Tennessee. [03:16.680 --> 03:19.680] Kudos to you guys. [03:19.680 --> 03:25.160] Recently ended or announced that they were ending, Texas, Mississippi, Iowa, Montana, [03:25.160 --> 03:26.160] and North Dakota. [03:26.160 --> 03:29.200] I've covered some of those in other videos. [03:29.200 --> 03:33.160] And soon will be ending is the state of Alabama. [03:34.120 --> 03:39.160] OK, so on to the comparison of states that have long had mass quarters versus states [03:39.160 --> 03:42.040] that have not had mass quarters. [03:42.040 --> 03:45.320] I selected these in a completely arbitrary manner. [03:45.320 --> 03:49.400] I went to a website that has a list, which is you go down the states and it's like yes, [03:49.400 --> 03:53.320] no, yes, no, whether they have a mass quarter or not. [03:53.320 --> 03:58.240] So I literally would take my finger on the mouse and go whee and kind of scroll down. [03:58.240 --> 04:01.520] And then I would find a yes and I'd go OK, I'm going to use that state, whee again with [04:02.160 --> 04:04.400] the mouse and then oh, there's a no, I'm going to use no. [04:04.400 --> 04:06.520] OK, so I didn't choose these. [04:06.520 --> 04:09.520] They are completely arbitrary in that regard. [04:09.520 --> 04:14.320] There is only one aspect which is not arbitrary. [04:14.320 --> 04:19.560] If in this spinning the wheel, so to speak, and hitting a no state or hitting a yes state, [04:19.560 --> 04:25.400] if I found that a state had recently lifted its mass quarter, I did not include it. [04:25.400 --> 04:28.960] The reason is I want people to be I want this comparison to be such that people can have [04:28.960 --> 04:29.960] confidence in it. [04:29.960 --> 04:34.360] So we're talking about never had a mass quarter or haven't had a mass quarter in a long, long, [04:34.360 --> 04:39.680] long time versus had a mass quarter in place for a very long time. [04:39.680 --> 04:46.000] We need to have that the solid nature of the comparison if this is going to be valid in [04:46.000 --> 04:47.360] order to keep this compact. [04:47.360 --> 04:50.720] I've also just limited it to five. [04:50.720 --> 04:52.480] There's no magic to the number five. [04:52.480 --> 04:53.480] I got the number five. [04:53.480 --> 04:56.040] I went, well, that's enough because I don't want this to be really, really long. [04:56.040 --> 04:59.880] The last one I did was almost 30 minutes and we don't all have that kind of time, right? [04:59.880 --> 05:03.120] So this is going to be just five. [05:03.120 --> 05:07.520] Before I give you the head to head comparison between states with mass quarters and states [05:07.520 --> 05:13.640] without mass quarters, I do want to comment that states without mass quarters, some of [05:13.640 --> 05:19.360] them have had counties with mass quarters or cities with mass quarters. [05:19.360 --> 05:26.320] That is well beyond my ability to factor every little city or town or counties that have [05:26.320 --> 05:30.000] mass quarters and how that may have affected in that narrow region. [05:30.000 --> 05:35.840] I mean, that is a task for eight, 10 or 12 biostatisticians that are all getting paid [05:35.840 --> 05:40.600] $150,000 a year by some big university or other sort of research institute and would [05:40.600 --> 05:44.260] take months and months of detailed work. [05:44.260 --> 05:51.620] So when I say state A did not have a mass quarter, please don't bother to tell me, but [05:51.620 --> 05:55.260] this county had a mass quarter or that city had a mass quarter. [05:55.260 --> 05:56.260] Yes, I know. [05:56.260 --> 05:59.340] With that under our belt, let's get to the state comparisons. [05:59.340 --> 06:00.340] Okay. [06:00.340 --> 06:05.580] The first two states where I'm doing this is non-mass state, mask mandate state. [06:05.580 --> 06:06.580] Okay. [06:06.580 --> 06:09.500] Got five of those blocks of comparison. [06:09.500 --> 06:16.220] So the first two state without a mask mandate ever is Alaska. [06:16.220 --> 06:24.260] It hit its peak of new daily infections on December 10th, 2020, and their new daily infections [06:24.260 --> 06:32.660] are now down as of yesterday or the day before, depending on how recent the data is, 89%. [06:32.660 --> 06:40.100] So in this matchup, we're comparing them, Alaska, to New Jersey, which hit its peak [06:40.100 --> 06:45.220] on January 9th, and its new daily infections are now down 50%. [06:45.220 --> 06:49.500] By the way, these matchups were just as arbitrary as the selection process. [06:49.500 --> 06:54.480] So for instance, I chose Alaska and then I spun the wheel until I found a yes, it happened [06:54.480 --> 06:55.480] to be New Jersey. [06:55.480 --> 06:56.480] Okay. [06:56.480 --> 06:58.180] So we're matching Alaska up to New Jersey. [06:58.180 --> 06:59.180] That's the way this is going. [06:59.180 --> 07:01.100] It was completely arbitrary. [07:01.180 --> 07:06.820] I didn't choose, not only are the states themselves arbitrary, but the matchup is arbitrary. [07:06.820 --> 07:07.820] Okay. [07:07.820 --> 07:14.100] So the next state that never had a statewide mask mandate is Idaho, which reached its peak [07:14.100 --> 07:20.500] of new daily infections on December 9th, 2020, and as of a day or two ago, its new daily [07:20.500 --> 07:24.660] infections are down 90%. [07:24.660 --> 07:29.020] We are comparing that to North Carolina, which has had a mask order for a very long time [07:29.020 --> 07:30.820] and still does. [07:30.980 --> 07:37.700] North Carolina hit its peak on January 11th, 2021, and its new daily infections are now [07:37.700 --> 07:42.020] down 92%. [07:42.020 --> 07:47.760] The next matchup is the state of Oklahoma that has never had a mask mandate. [07:47.760 --> 07:54.220] It hit its peak on January 7th, and new daily infections are now down 94%. [07:54.220 --> 07:58.420] We're matching that up against the state of Oregon that has had a mask order for a very [07:58.460 --> 08:06.460] long time, hit its peak on December 9th, and is currently down new daily infections 89%. [08:06.460 --> 08:13.100] And the last matchup, the state of South Dakota that has never had a mandate, it hit its peak [08:13.100 --> 08:20.580] number of new daily infections on November 14th, it is currently now down 93%. [08:20.580 --> 08:25.380] We're comparing it to Utah, which has long had a mask order, though it will be going [08:25.380 --> 08:30.340] away sometime in April, I believe. [08:30.340 --> 08:38.340] Utah hit its peak January 7th, and currently is down 96%. [08:38.340 --> 08:39.340] I thought that was the last one. [08:39.340 --> 08:41.460] It's not as I turn the page. [08:41.460 --> 08:48.420] The last one is no mask mandate, Missouri hit its peak on November 14th, it is currently [08:48.420 --> 08:54.660] down in new daily infections 97%, almost 100%. [08:54.660 --> 08:59.820] We're comparing that to this state where I live, Nevada, which has had a mask, an obnoxious [08:59.820 --> 09:02.940] mask order forever. [09:02.940 --> 09:07.780] It hit its peak on December 10th, and as of a day or two ago, its new daily infections [09:07.780 --> 09:11.940] are down 93%. [09:11.940 --> 09:16.500] This is not definitive, because I'm not looking at all 50 states of the union. [09:16.500 --> 09:20.980] This is a sampling, and it is a random arbitrary sampling. [09:20.980 --> 09:32.620] But I did average the decrease in new daily infections for states that have never had [09:32.620 --> 09:38.900] a mask order and for states that have had and continue to have a mask order. [09:38.900 --> 09:40.900] That looks like this. [09:40.900 --> 09:49.940] States that have never had a statewide mask mandate of the five matchups that we did today, [09:49.940 --> 09:56.340] states that did not have mask mandates at any time, their average reduction in new daily [09:56.340 --> 10:06.340] infections as of this time is 92.6%. [10:06.340 --> 10:16.460] States that have long had mask orders and still do, their average drop is 84%. [10:16.460 --> 10:26.940] So there is an 8.6% greater decrease on average, based on what we've talked about today, decrease [10:26.940 --> 10:32.180] in new daily infections in the states that have never had a mask mandate and do not have [10:32.180 --> 10:34.820] one at this time. [10:34.820 --> 10:36.340] I think that's pretty telling. [10:36.340 --> 10:39.860] Again, this is not, what's the word I'm looking for? [10:39.860 --> 10:41.420] This is not controlling. [10:41.420 --> 10:43.420] It's not definitive. [10:43.420 --> 10:45.900] This is not science. [10:45.900 --> 10:52.340] But nevertheless, short of spending days compiling data and spending Lord knows how much time [10:52.340 --> 10:54.940] here with you, this is still telling. [10:54.940 --> 10:56.100] It's still indicative. [10:56.100 --> 10:59.060] It still begins to establish the record. [10:59.060 --> 11:03.900] I've established the record specifically on states like Iowa and Montana that have lifted [11:03.900 --> 11:04.900] their orders. [11:04.900 --> 11:11.820] I've already done videos on those states comparing what they looked like as far as their downward [11:11.820 --> 11:17.060] trajectory of new daily infections before they removed their mask order. [11:17.060 --> 11:22.020] And then when they got to 21 or 30 days after the mask order was lifted, what did their [11:22.020 --> 11:23.700] downward trajectory look like? [11:23.700 --> 11:27.580] And all of those cases, the downward trajectory was unchanged. [11:27.580 --> 11:31.900] And I've talked about the fact, if you take something that's supposed to, at least according [11:31.900 --> 11:36.060] to people like Fauci and Walensky, it's supposed to really make all the difference. [11:36.060 --> 11:38.220] In this case, we're talking about masks. [11:38.220 --> 11:42.420] If you suddenly pull that out, you people in society, you don't have to wear masks [11:42.420 --> 11:43.420] anymore. [11:43.420 --> 11:49.140] And the trajectory, whether downward or upward, the trajectory remains unchanged. [11:49.140 --> 11:56.180] You have to question whether or how much of an impact that particular mitigation measure [11:56.180 --> 11:59.520] was effective, its level of efficacy. [11:59.520 --> 12:02.220] So I will be talking in the future. [12:02.220 --> 12:04.300] We've got Texas coming up. [12:04.340 --> 12:12.380] By the way, when I say coming up, what I mean is a minimum of 21 days of data since the [12:12.380 --> 12:15.420] mask order was lifted, the statewide mask order was lifted. [12:15.420 --> 12:22.620] I will not waste your time coming to you and saying, oh, look, the trajectory hasn't changed. [12:22.620 --> 12:23.620] I won't do that. [12:23.620 --> 12:25.940] Or maybe the trajectory has changed, right? [12:25.940 --> 12:26.940] We'll see. [12:26.940 --> 12:29.140] It hasn't changed in any of the states yet. [12:29.140 --> 12:33.940] So I won't come to you with that data and show you the data and talk to you about the [12:33.940 --> 12:38.140] data until there's at least 21 days of data. [12:38.140 --> 12:43.340] Preferably, we get to like 30 days of data, and I'm even more comfortable. [12:43.340 --> 12:50.660] That's pretty compelling as far as determining whether or not there is a trend. [12:50.660 --> 12:54.740] I think I've got three states lined up in my calendar, two of which are coming up, I [12:54.740 --> 12:58.660] think within the next or in about a week for me to sit down and do one of these and [12:58.660 --> 13:03.220] report to you on the 21-day or more trend, and I think I've got another one that's like [13:03.220 --> 13:05.860] another month out in front of that one. [13:05.860 --> 13:08.460] And again, we're at the end of this thing. [13:08.460 --> 13:15.620] As I continually refer to it, it's all over but the shouting. [13:15.620 --> 13:18.020] The U.S. had heard immunity in early January. [13:18.020 --> 13:21.340] Case numbers are collapsing, as you heard today. [13:21.340 --> 13:25.540] So the reason that I'm looking at this today, the reason I'm going to look at Texas and [13:25.540 --> 13:30.180] whatever the other state is, Mississippi perhaps, coming up here in just about a week and then [13:30.180 --> 13:32.180] after that we've got Alabama coming up. [13:32.180 --> 13:36.660] The reason I'm going to continue to sit here and touch base with you is so that we can [13:36.660 --> 13:39.100] establish the record. [13:39.100 --> 13:40.100] We can look at this. [13:40.100 --> 13:44.540] I think it's really important moving forward with whatever's going to be coming in our [13:44.540 --> 13:53.060] future, it's really important to establish the record of the efficacy of these mitigation [13:53.060 --> 13:54.060] measures. [13:54.060 --> 13:57.260] Now, I'm not looking at things like lockdowns because we haven't, for the most part, other [13:57.260 --> 14:01.460] than places like California, we haven't had lockdowns in a while. [14:01.460 --> 14:04.580] So what's the value of talking about something that's sort of in our past? [14:04.580 --> 14:09.700] And I talked about lockdowns and the lack of efficacy of lockdowns back when they were [14:09.700 --> 14:10.700] a thing. [14:10.700 --> 14:16.580] Now, what is a thing is the ending in various states of mask mandates. [14:16.580 --> 14:23.820] And in order to determine the efficacy, the best way to do that is to compare states doing [14:23.820 --> 14:29.820] X to states doing Y when X and Y are in complete contrast to one another. [14:29.820 --> 14:32.300] And that is what we've been doing together today. [14:32.300 --> 14:34.620] In closing, would you please do me a favor? [14:34.620 --> 14:39.740] Go to DrReality.News, take a look at Body Science, please do read the reviews, take [14:39.820 --> 14:43.260] a look at Income Tax Shattering the Mist, do read the reviews and support this kind [14:43.260 --> 14:46.900] of work that I do here for and with you by grabbing a copy of Income Tax Shattering [14:46.900 --> 14:47.900] the Mist for Body Science. [14:47.900 --> 14:48.180] Thanks.