Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.000 --> 00:04.080] I'm Dave Champion, one of the struggles I have when I put these video presentations [00:04.080 --> 00:08.760] together for you is how many facts, how much data, how many conclusions, how much material [00:08.760 --> 00:12.720] to cover, how long to make the video, so I'm gonna try and keep this one short. [00:12.720 --> 00:17.520] The subject is that of course once again the media is driving fear and panic by talking [00:17.520 --> 00:23.200] about increased cases and increased cases all around the country, we're all gonna die. [00:23.200 --> 00:27.960] What is the actual scene as far as deaths are concerned? [00:35.400 --> 00:36.960] So here's how I'm gonna try and do this. [00:36.960 --> 00:41.160] Number one I'm gonna present you with some graphs that show data that is fairly representative [00:41.160 --> 00:42.960] of what's going on across the United States. [00:42.960 --> 00:46.920] Then number two I'm going to give you the exception and number three I'm gonna tell [00:46.920 --> 00:52.280] you why the general rule is what it is at this time in the United States. [00:52.280 --> 00:55.340] This is a graph of the state of Arizona. [00:55.340 --> 01:00.840] This red line represents the cases as they are increasing in the state of Arizona. [01:00.840 --> 01:05.120] Of course you can see that's happening after they initially hit herd immunity and they're [01:05.120 --> 01:10.420] still in herd immunity, it's just that now a different susceptible group is being impacted [01:10.420 --> 01:14.160] because the weather's getting a little bit cooler, not all that bad in Arizona, but people [01:14.160 --> 01:19.680] are going indoors and with changing behavioral patterns comes changing infection patterns. [01:19.680 --> 01:23.120] Now let's switch and look at deaths. [01:23.120 --> 01:28.080] This is a graph showing the data of deaths from COVID-19 in Arizona. [01:28.080 --> 01:31.520] As you can see there are two lines, there's a fairly fluorescent green line and a red [01:31.520 --> 01:32.520] line. [01:32.520 --> 01:38.000] The green line shows the general trend of COVID-19 deaths in the state of Arizona from [01:38.000 --> 01:40.720] late July until just a day or two ago. [01:40.720 --> 01:48.360] The red line, you notice here on the left side, that's the date that infections began [01:48.360 --> 01:50.960] to rise in the state of Arizona. [01:50.960 --> 01:52.960] That's why I didn't elongate that red line. [01:52.960 --> 01:59.040] This part right here is where cases began to increase and of course you can see the [01:59.040 --> 02:04.220] red line, what happened as far as deaths from COVID-19 are concerned. [02:04.220 --> 02:07.000] This graph shows data concerning new infections in the state of Nevada. [02:07.000 --> 02:14.040] You can see right here about September 8th, cases started increasing and they've increased [02:14.040 --> 02:18.200] pretty significantly, you can see that in the red line. [02:18.200 --> 02:24.160] So at the same time they're increasing what's going on with COVID-19 deaths in the state [02:24.160 --> 02:25.680] of Nevada. [02:25.680 --> 02:32.000] So yeah, again the green line shows the general trend in COVID-19 deaths in the state of [02:32.000 --> 02:39.760] Nevada and the red line, this left point right here is where new infections started increasing [02:39.760 --> 02:42.520] and you see what happens with deaths, right? [02:42.520 --> 02:47.240] They're plummeting even as new infections are increasing. [02:47.240 --> 02:51.580] All right, so if we look at Arizona and Nevada and they're fairly representative of what's [02:51.580 --> 02:56.300] going on in most of the states, let's look at the United States overall. [02:56.300 --> 03:02.340] This graph shows the data for the United States in its entirety of new daily infections and [03:02.340 --> 03:08.320] as you can see right here, September 7th, we see a pretty dramatic upturn. [03:08.320 --> 03:14.420] So what's going on with deaths in the United States? [03:14.420 --> 03:19.160] And again, you see the same trend, the green line is the general trend and the red line [03:19.160 --> 03:24.960] as in the previous graphs shows the left-hand part of the red line is the date that the [03:24.960 --> 03:31.000] increase in new daily infections began in the United States and this shows while the [03:31.000 --> 03:36.040] new daily infection rates were climbing, what was happening to the death rate, yeah, it's [03:36.040 --> 03:37.040] dropping. [03:37.360 --> 03:42.360] All right, so that's part one, what's going on with the new daily infections versus the [03:42.360 --> 03:45.360] mortality rate or the death toll from COVID-19. [03:45.360 --> 03:49.840] Now I want to get into the second part which is the exception. [03:49.840 --> 03:57.380] The exception are rural states that have not been impacted up until about six to eight [03:57.380 --> 03:58.780] weeks ago. [03:58.780 --> 04:03.160] What's happening with the rural states is as their new daily infections are rising, [04:03.160 --> 04:04.600] so is the death toll. [04:04.600 --> 04:12.000] However, and this is a really important part, a high death toll, a high death toll for most [04:12.000 --> 04:18.120] of these rural states in a given day is low double digits, you know, maybe 12 or 20. [04:18.120 --> 04:21.720] I think the highest one I saw when I was looking today was 49. [04:21.720 --> 04:25.880] So the death rates are nothing like they are in the big states. [04:25.880 --> 04:31.380] For instance, at its peak, New York was experiencing over a thousand deaths a day. [04:31.380 --> 04:36.980] So these rural states, they are, it's I guess we can call a case of first impression, I'm [04:36.980 --> 04:38.900] borrowing that from the law. [04:38.900 --> 04:45.380] Those states didn't go into herd immunity and now they're merely seeing a different [04:45.380 --> 04:49.900] group of susceptible people hit because behavioral patterns are changing. [04:49.900 --> 04:51.060] That's not what's going on. [04:51.060 --> 04:55.080] They weren't hit to begin with and now they are being hit. [04:55.080 --> 05:00.820] So they're going through a part that the more populous states went through five months ago. [05:00.820 --> 05:08.500] On to point number three, why are daily infection numbers climbing and death tolls dropping? [05:08.500 --> 05:15.140] Okay, so first of all, I want to say, and I know this irritates a lot of the covidiots, [05:15.140 --> 05:19.780] testing between September and now has gone up dramatically. [05:19.780 --> 05:22.500] If you take a look at the graph, which I forgot to prepare for this, if you take a look at [05:22.500 --> 05:24.380] the graph, the line is like this. [05:24.380 --> 05:25.580] This is what's going on with testing. [05:25.580 --> 05:28.580] Okay, so you're going to get a lot more positives. [05:28.580 --> 05:30.380] But is that the only thing that's going on here? [05:30.380 --> 05:34.260] No, we've talked about this before in another video that it's getting cold. [05:34.260 --> 05:35.260] People are going inside. [05:35.260 --> 05:38.740] And when you change behavioral patterns, you change the infection pattern. [05:38.740 --> 05:42.400] So here's how most contagions work. [05:42.400 --> 05:48.340] And in particular, viruses that cause upper respiratory disease, which SARS-CoV-2 is one [05:48.340 --> 05:49.980] such virus. [05:49.980 --> 05:58.700] Here's what happens when the virus first hits a community, the people who are most susceptible [05:58.700 --> 06:03.940] and susceptible is actually a word that the epidemiology community uses. [06:03.940 --> 06:07.780] So when I say susceptible, that's not just a word I'm choosing to use today. [06:07.780 --> 06:14.260] That is actually a part of the equation when epidemiologists are looking at infectious [06:14.260 --> 06:15.260] diseases. [06:15.260 --> 06:18.420] Susceptibility, what part of the society is susceptible? [06:18.420 --> 06:28.020] So with that said, the people who are most susceptible are the people with the most compromised [06:28.340 --> 06:29.820] immune process. [06:29.820 --> 06:33.580] They get hit first and they get hit hardest. [06:33.580 --> 06:38.500] There's actually a scientific name for that principle and you can watch, there's a graph. [06:38.500 --> 06:40.780] It's called something like the Mossberg graph or something. [06:40.780 --> 06:43.600] It's been months since I've looked at it and I've forgotten the name. [06:43.600 --> 06:49.460] But what it shows is the people that get hit initially because they have seriously compromised [06:49.460 --> 06:54.660] immune process, which does not mean some sort of genetic condition like they're immune compromised. [06:54.660 --> 06:58.940] They may have very well done it to themselves through lifestyle and chronic disease. [06:58.940 --> 07:04.460] They are most susceptible to it and because their immune process is so compromised, it [07:04.460 --> 07:05.460] kills them first. [07:05.460 --> 07:06.780] That's just the reality of it. [07:06.780 --> 07:14.740] So you see the spike of contagions and deaths and then the deaths begin to fall off. [07:14.740 --> 07:16.740] We've seen that in a lot of states. [07:16.740 --> 07:19.900] I've shown you time and time and time and time again in states and countries all over [07:19.900 --> 07:20.900] the world. [07:20.900 --> 07:26.980] The herd immunity pyramid, you've got to have the red line to get to the blue line. [07:26.980 --> 07:31.920] When the virus first starts, you've got this group over here that has natural immunity. [07:31.920 --> 07:34.780] You've got this group over here which are susceptible. [07:34.780 --> 07:37.200] Over time that inverts. [07:37.200 --> 07:42.740] The number of people who are immune, whether it's naturally or they've gotten it and now [07:42.740 --> 07:47.780] they have antibodies, that pool grows and the susceptible pool closes. [07:47.780 --> 07:50.580] That's the whole principle behind herd immunity. [07:50.580 --> 07:57.660] Nevertheless, as that susceptible pool closes, there are people that are still susceptible. [07:57.660 --> 08:02.180] People who have natural herd immunity are not in the susceptible class. [08:02.180 --> 08:10.200] So what happens is you reach herd immunity concerning all the people that were susceptible, [08:10.200 --> 08:11.700] for instance, through the summer. [08:11.700 --> 08:12.700] We've seen that spike. [08:12.700 --> 08:15.740] We've got to have the red line to get to the blue line. [08:15.740 --> 08:17.100] Then the weather gets cooler. [08:17.100 --> 08:23.020] People go indoors, differing personal behavior changes the infection pattern, and now this [08:23.020 --> 08:28.180] ever-shrinking group of susceptible people, now because behavioral patterns have shifted, [08:28.180 --> 08:29.500] they start to get hit. [08:29.500 --> 08:35.060] Now, they're not as susceptible as the people that got nailed, say, 10 months ago, right? [08:35.060 --> 08:38.520] But nevertheless, they're still part of the susceptible pool. [08:38.520 --> 08:40.700] So infections start increasing. [08:40.700 --> 08:45.260] Now the really important thing, and this goes to the death issue, the people in this ever-dwindling [08:45.260 --> 08:51.380] susceptible pool, they're susceptible for various reasons, but they are not—their [08:51.380 --> 08:57.700] immune process is nowhere near as compromised on the whole, nowhere near as compromised [08:57.700 --> 08:59.620] as the people who got hit at the outset, right? [08:59.620 --> 09:06.020] So they get infected, but the vast majority of them never develop the disease known as [09:06.020 --> 09:07.100] COVID-19. [09:07.100 --> 09:12.140] And if they do develop symptoms of COVID-19—they lose their taste or they get an upset nose [09:12.220 --> 09:16.820] or they feel like crap for two or three days—they don't go the extra distance. [09:16.820 --> 09:18.220] They don't end up with the breathing problems. [09:18.220 --> 09:19.220] They don't have to go to the hospital. [09:19.220 --> 09:23.980] And even if they go there, their immune system is still not as trashed as the people at the [09:23.980 --> 09:27.580] outset, so not as many of them die. [09:27.580 --> 09:29.340] It's just that equation. [09:29.340 --> 09:35.780] You start with a small pool of people who are naturally immune, and then through the [09:35.780 --> 09:40.460] herd immunity process, as more people get it and they become immune, that grows, and [09:40.460 --> 09:42.900] the pool of susceptible people over time shrinks. [09:42.900 --> 09:46.980] So these people here are—they're susceptible, but they're less susceptible. [09:46.980 --> 09:48.620] Did I describe that clearly?