Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.000 --> 00:06.480] I'm Dave Champion. Welcome back to another fact-based presentation that Facebook [00:06.480 --> 00:10.980] fact-checkers will tell you is false and misleading because the conclusions to [00:10.980 --> 00:17.600] which the facts lead just upset them. Alright let's start by looking at this [00:17.600 --> 00:23.820] COVID neuroses network otherwise known as CNN headline and of course you can [00:23.820 --> 00:30.180] see it reads 10 states report highest number of COVID-19 cases and the [00:30.180 --> 00:35.340] headline that I personally like is the one it's worrisome increase in 7 states [00:35.340 --> 00:43.460] or 11 states or 13 worrisome increases okay so where is the United States in [00:43.460 --> 00:48.100] reality leaving aside all these headlines and the fear-mongering where [00:48.100 --> 00:52.100] really is the United States? [00:59.600 --> 01:02.540] A big part of what we're going to be discussing today is the difference [01:02.540 --> 01:07.300] between how a virus spreads in an urban environment and how the virus spreads in [01:07.300 --> 01:11.980] a rural environment which is key to understanding the numbers not the [01:11.980 --> 01:15.300] headlines because they're just nonsense but the numbers of what's really going [01:15.780 --> 01:22.300] But before I get to urban versus rural I want to start by looking at the US death [01:22.300 --> 01:27.660] numbers to put this into perspective as you can see right here from late July [01:27.660 --> 01:32.740] through late September the number of deaths from COVID-19 in the United [01:32.740 --> 01:37.980] States was on a continuous downward trend then you'll see right here it [01:37.980 --> 01:42.540] flattens out and I think it's important to note that it is now flat neither [01:43.300 --> 01:48.420] diminishing because the headlines tend to give the impression that things are [01:48.420 --> 01:52.200] out of control and as you can see from at least a number of deaths things are [01:52.200 --> 01:58.140] not out of control so how is the United States doing in the area of new daily [01:58.140 --> 02:01.500] infections and for that let's take a look at of course if you're watching one [02:01.500 --> 02:09.060] of my presentations the data you can see right here as I've said time and time [02:09.060 --> 02:14.340] again you've got to have the red line to get to the blue line in other words [02:14.340 --> 02:19.860] what you're seeing here is the herd immunity pyramid cases went up [02:19.860 --> 02:24.300] dramatically herd immunity was attained and the cases begin to drop off [02:24.300 --> 02:34.260] significantly but what's this over here what that is is rural states so let's go [02:34.740 --> 02:40.260] the initial herd immunity pyramid this that you see here this is this dramatic [02:40.260 --> 02:45.860] almost vertical rise is cases spreading within the urban environment in the [02:45.860 --> 02:48.500] United States and of course that was also the place where the most testing [02:48.500 --> 02:52.260] was going on then you see the urban environment hits herd immunity right [02:52.260 --> 02:58.580] there and then it drops off and then you get down to here and right here about [02:59.140 --> 03:04.820] the first couple days in September is when the virus starts spreading more [03:04.820 --> 03:12.740] robustly within the rural states and we see the completely expected and well [03:12.740 --> 03:17.940] anticipated increase reflected in this line so what's going to happen to that [03:17.940 --> 03:22.420] line yeah the rural states are going to hit herd immunity too and that line [03:22.420 --> 03:26.260] that's going up now is going to it's got a peak and it's going to start dropping [03:26.260 --> 03:34.660] back down just as we saw in the urban herd immunity pyramid on the US total [03:34.660 --> 03:41.300] new infection cases graph I just told you that the latest upswing went up to [03:41.300 --> 03:45.940] the pyramid hit her immunity urban came down and now we're going up in rural so [03:45.940 --> 03:49.940] let's talk about some rural states this chart you're looking at right here [03:49.940 --> 03:53.700] designates states the darkest states being those that have the highest number [03:53.700 --> 03:56.180] of new daily case obviously we're not going to go through all of this this is [03:56.180 --> 04:00.500] from John Hopkins we're only going to take a look at the top three I think [04:00.500 --> 04:09.460] we'll start with Montana pretty dramatic increase yes okay so yeah it looks [04:09.460 --> 04:16.580] dramatic on a graph but we have to put things into perspective so Montana on [04:16.660 --> 04:26.660] its highest day of new daily infections had 720 new daily infections compare [04:26.660 --> 04:35.300] that to New York that on its highest day had more than 12,000 new daily [04:35.300 --> 04:44.020] infections 12,000 a day more than versus 720 let's look at North Dakota now [04:44.020 --> 04:51.700] again pretty dramatic upswing yes and yeah again their highest new daily [04:51.700 --> 04:58.580] infection rate was 722 infections in a single day so they're right on par with [04:58.580 --> 05:04.500] Montana and we're talking in the low 700s versus a state like New York that [05:04.500 --> 05:12.100] when it was raging was at more than 12,000 new infections a day next up South [05:12.100 --> 05:17.940] Dakota as you can see same exact trend another rural state all these rural [05:17.940 --> 05:20.660] states are experiencing a very not all of them almost all of them are [05:20.660 --> 05:24.900] experiencing a very similar trend that you've seen in the last two and now [05:24.900 --> 05:30.340] you're looking at this one and South Dakota had on its very highest day right [05:30.340 --> 05:36.580] here a thousand new infections so what's going on in these rural states with [05:37.220 --> 05:46.340] well many many many many many days deaths are zero many of them by that I mean [05:46.340 --> 05:52.580] many of the days are single digit and some of them are the low double digits [05:52.580 --> 06:00.900] 11 12 14 nothing like we were seeing in the urban centers I keep bringing up how [06:00.900 --> 06:05.060] things were in the urban centers remember that line it was going up okay [06:05.060 --> 06:08.340] before they hit the urban centers had her immunity why am I saying that well [06:08.340 --> 06:13.860] because people still have in their heads all the horrible news and and it was it [06:13.860 --> 06:17.860] was pretty disturbing all that horrible news coming out of the urban centers like [06:17.860 --> 06:23.220] New York City that were hot spots okay so people have that in their head and the [06:23.220 --> 06:28.180] media like the bogus headlines I showed you earlier on the media is trying to [06:28.980 --> 06:34.180] cause the public to think by by not giving numbers by simply saying things [06:34.180 --> 06:38.340] like oh my god a worrisome increase in cases they're trying to get the public [06:38.340 --> 06:43.140] to think that what's going on now in America is the same thing that was going [06:43.140 --> 06:52.420] on in the urban centers four months ago no not even remotely the same these rural [06:52.420 --> 06:57.300] increases are going are are incredibly minimalistic they're going to go up a [06:57.300 --> 07:01.380] little bit the rural environment's going to hit herd immunity and they're going [07:01.380 --> 07:06.820] to go down without causing any significant issues in this country but that is not the [07:06.820 --> 07:10.420] message that the media wants you to take the media wants you to be panicked and [07:10.420 --> 07:17.300] fearful just like Facebook fact checkers do I want to show you another graph tracking [07:17.300 --> 07:23.460] U.S. infections in the United States so you can get that 35,000 foot view as to what's [07:23.460 --> 07:28.580] really going on rather than the panic fear driven headlines you're seeing on things [07:28.580 --> 07:34.180] like the COVID neuroses network otherwise known as CNN this is a graph of the United States from [07:34.180 --> 07:38.820] about the beginning of the outbreak through about 48 hours before I'm creating this video [07:38.820 --> 07:44.820] and you will see here the infections rise dramatically and then we see them fall [07:44.820 --> 07:49.220] dramatically now this is across the entire United States but it's important to note that the [07:49.220 --> 07:56.420] increase and the fall are in the urban centers now this fall that you're seeing is not herd [07:56.420 --> 08:03.220] immunity this fall is lockdowns okay so and there's a whole whole bunch of reasons that [08:03.220 --> 08:08.420] you see this this just crash in a lockdown I've referred to that time and again as an [08:08.420 --> 08:14.660] artificial unsustainable construct and then here we see about late June when they eased up [08:14.660 --> 08:23.860] and you see the numbers going back up and this point here is when the urban centers hit herd [08:23.860 --> 08:30.020] immunity and then you see cases falling again all the way through approximately the beginning [08:30.020 --> 08:38.420] of October right here you see the cases upticking ever so slightly and that's the virus taking off [08:38.420 --> 08:46.180] as we've been discussing as you can clearly see compare this to this yeah the U.S. is not [08:46.180 --> 08:52.900] in any way shape or form in a in bad shape and all these panic fear driven headlines you're seeing [08:52.900 --> 09:01.380] yeah it's just grossly irresponsible and in my opinion disgusting behavior on the part of the [09:01.380 --> 09:08.740] media the other headline I love is that hospitalizations are hitting new records in fill it in five [09:08.740 --> 09:14.900] states seven states 11 states 13 states whatever okay hospitalizations are increasing they're [09:14.900 --> 09:24.580] hitting record levels oh okay so here's the thing if you've got a rural state that had like [09:25.140 --> 09:31.700] their record of people being in the hospital on any given day concerning COVID-19 was like [09:31.700 --> 09:42.580] 27 if they now have 29 people that's a record you see how the media does this these rural states [09:42.580 --> 09:48.980] have had very few cases coming their way until about the end of September when the numbers [09:48.980 --> 09:55.940] started to rise in the rural environment so now states that had virtually no one hospitalized [09:55.940 --> 10:01.220] due to COVID-19 now they're having a little uptick but the press wants you to believe it's a disaster [10:01.220 --> 10:07.460] it's a crisis and it's not it's just if your numbers were incredibly low to begin with and [10:07.460 --> 10:12.740] they tick up that's a record right yeah but it's nothing to be there's nothing for the nation to [10:12.740 --> 10:21.060] be concerned about when I tell you this and such is going to happen in the future I usually move [10:21.060 --> 10:27.380] out two three weeks into the future and I put it in my calendar to check again and just yesterday [10:27.380 --> 10:32.020] as I'm sitting here filming this today just yesterday the reminder came up to look at Florida [10:32.020 --> 10:36.260] because it's been three weeks since Ron DeSantis the governor of Florida lifted all personal [10:36.260 --> 10:42.180] restrictions concerning the virus in the state of Florida and of course everybody the news media [10:42.820 --> 10:48.660] Fauci who's owned by big pharma you know oh this is terrible this is dangerous it's going to be a [10:48.660 --> 10:54.740] disaster and of course they were all attacking DeSantis so I told you at the time there might [10:54.740 --> 10:59.780] be a small uptick and that would be the most so let's take a look now three weeks later at what [10:59.780 --> 11:04.980] has actually happened in Florida all right so looking back historically of course you've got [11:04.980 --> 11:10.740] to have the red line to get to the blue line and this is the moment that Florida hit herd immunity [11:11.380 --> 11:18.020] this line here is the exact date that Ron DeSantis the governor of Florida lifted all personal [11:18.020 --> 11:25.780] virus restrictions in the state of Florida this line shows that there has been no negative [11:25.780 --> 11:31.540] impact whatsoever I had predicted there might be a slight uptick there hasn't even been a slight [11:31.540 --> 11:38.340] uptick I think it's important to note that concerning Florida and a lot of other places [11:38.340 --> 11:50.180] we've talked about in previous videos the media was completely wrong Anthony Fauci was completely [11:50.180 --> 11:54.980] wrong of course Fauci he's cagey he doesn't come out and say this is going to happen he says oh I [11:54.980 --> 12:00.260] I'm really concerned really concerned it's almost like I expect a teardrop to come out of his eye [12:00.260 --> 12:07.460] anytime and his concerns never develop into reality but no matter how many times Fauci's [12:07.460 --> 12:15.060] concerns never develop into reality the media says Anthony Fauci says Anthony Fauci is concerned [12:15.060 --> 12:22.340] Anthony Fauci is worried Anthony Fauci counsels that this is bad you have to ask yourself [12:22.340 --> 12:26.020] considering that he's been wrong virtually 100 percent of the time [12:28.820 --> 12:34.420] why does the media keep going back to him and quoting him I mean how many times can [12:34.420 --> 12:42.980] somebody be wrong before the media the media says this guy is non-credible yeah by contrast though [12:43.540 --> 12:47.860] they do say people are not incredible so they don't say Fauci's incredible no matter how many [12:47.860 --> 12:52.580] times he's been proven wrong he has proven himself wrong time and time and time and time [12:52.580 --> 12:59.300] and time and time and time again he remains credible but the media especially like Facebook [12:59.300 --> 13:06.020] fact-checkers they do determine that people are non-credible for instance in my case if you go [13:06.020 --> 13:11.700] back to March when I started making SARS-CoV-2 and COVID-19 videos I have been right 100 percent [13:11.700 --> 13:15.460] of the time and anybody any fact-checker who wanted to go I mean I know it's a big investment [13:15.460 --> 13:20.500] of time to go back and watch all those videos I totally get it but if somebody did what they [13:20.500 --> 13:25.060] would find is every step of the way I've been right Fauci's been wrong the media continues to [13:25.060 --> 13:32.100] go back to Fauci I've been 100 correct Facebook fact-checkers say I am promoting faults and [13:32.100 --> 13:37.380] misleading information now I don't care what the media says and I don't care what Facebook [13:37.380 --> 13:43.860] fact-checkers say I only care about two things I care about what I think when I look in the mirror [13:43.860 --> 13:48.580] and I know where my integrity is at and I care that if you're following me and you're watching [13:48.580 --> 13:56.100] these presentations you over time can put all the dots together and say yeah this totally makes [13:56.100 --> 14:04.180] sense why are why is this narrative going on when this over here is reality if you following my [14:04.180 --> 14:09.780] presentations following my posts over all these months have an accurate picture in your head of [14:09.780 --> 14:19.140] what's going on that's all I care about