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[00:00.000 --> 00:01.620]  I'm Dave Champion.
[00:01.620 --> 00:07.420]  As you probably know, governors across the nation are being stupid again, locking down
[00:07.420 --> 00:10.880]  their states again for a greater or lesser period of time.
[00:10.880 --> 00:14.640]  So I wanted to take a moment and look at the actual number.
[00:14.640 --> 00:19.360]  In other words, we're in the mid-November, so are the numbers at this time, when they're
[00:19.360 --> 00:26.000]  shutting down their states, are the numbers higher or lower than they were months ago?
[00:30.000 --> 00:36.120]  Before we get rolling, a couple quick notes about methodology.
[00:36.120 --> 00:37.880]  I did not handpick these states.
[00:37.880 --> 00:41.920]  In other words, I didn't say, okay, what state is going to feed my personal narrative?
[00:41.920 --> 00:46.880]  What I did was an internet search for governors locking their states down again, and then
[00:46.880 --> 00:50.080]  as they came up, I said, okay, I'll take that one and that one, and I took them literally
[00:50.080 --> 00:51.080]  in order.
[00:51.080 --> 00:54.420]  So I did not preferentially pick these states.
[00:54.420 --> 01:02.380]  A second methodology note, there is no rock-solid way to compare months ago to now, because
[01:02.380 --> 01:04.840]  the situation is fluid and there are variables.
[01:04.840 --> 01:09.540]  So somebody might say, well, Dave, that's not absolutely conclusive, and you're right,
[01:09.540 --> 01:10.540]  it's not.
[01:10.540 --> 01:17.640]  It's meant to give an indication of what these governors should know and seemingly do not.
[01:17.640 --> 01:20.780]  Let's start with the premise of that, as you're going to see.
[01:20.780 --> 01:28.100]  In all the states we're looking at, the new daily infections are rising significantly.
[01:28.100 --> 01:33.380]  The question is, is that really the criteria that we should be looking at?
[01:33.380 --> 01:37.060]  Let's start with the state of Michigan, for no particular reason other than Whitmer's
[01:37.060 --> 01:38.060]  a complete idiot.
[01:38.060 --> 01:43.380]  All right, this is a graph from the data out of Michigan.
[01:43.380 --> 01:50.740]  This point where you see the red line at the bottom, that is October 13th, Michigan's highest
[01:51.300 --> 01:56.260]  death toll in a single day was back on June 5th.
[01:56.260 --> 02:00.660]  It was 250 people.
[02:00.660 --> 02:10.140]  On November 13th, a day or two ago, the daily deaths in Michigan was 125, exactly half of
[02:10.140 --> 02:11.900]  what it was in June.
[02:11.900 --> 02:18.340]  So while in November the daily death rate is about half of what it was back in June,
[02:18.340 --> 02:23.180]  the number of new daily infections is, are you ready?
[02:23.180 --> 02:26.780]  Nine times as high.
[02:26.780 --> 02:30.140]  New daily infections are soaring.
[02:30.140 --> 02:34.640]  Deaths are less than half of what they were back in June.
[02:34.640 --> 02:42.160]  What this shows you is the percentage of people who were dying in comparison to the number
[02:42.160 --> 02:44.580]  of new daily infections being reported.
[02:44.780 --> 02:49.220]  This is June, of course, and here you have it in November.
[02:49.220 --> 02:55.060]  So now, in November, it's about a third of what it was then.
[02:55.060 --> 02:59.260]  Here we have a graph from the Washington state data.
[02:59.260 --> 03:03.160]  Then again down here at the bottom, that's the beginning of the significant increase
[03:03.160 --> 03:04.500]  in new daily cases.
[03:04.500 --> 03:07.780]  The bottom of that red line is October 18th.
[03:07.780 --> 03:16.660]  In Washington state, the day with the highest death toll in a single day was July 24th with
[03:16.660 --> 03:18.860]  42 deaths.
[03:18.860 --> 03:25.900]  On November 12th, the deaths were 24, a bit more than half.
[03:25.900 --> 03:30.580]  And in Washington, we're seeing the same exact trend we saw in Michigan, where in Washington
[03:30.580 --> 03:35.460]  they had the high death toll on July 24th.
[03:35.460 --> 03:43.180]  On November 12th, the cases were three times what they were back at the end of July.
[03:43.180 --> 03:50.020]  Again, considerably more new daily infections, considerably fewer people dying.
[03:50.020 --> 03:55.820]  Here we see the July deaths as a percentage of the new infections back in July and the
[03:55.820 --> 03:57.260]  same thing in November.
[03:57.260 --> 04:06.060]  So back in July, deaths were 4.1% of all the new daily infections and in November,
[04:06.060 --> 04:11.860]  the deaths as a percentage of new daily infections is under 1%, roughly a quarter of what it
[04:11.860 --> 04:13.400]  was in July.
[04:13.400 --> 04:18.220]  This is a graph of the data from the state of California and again down at the bottom
[04:18.220 --> 04:21.300]  where the cases begin to accelerate.
[04:21.300 --> 04:24.900]  That date is October 17th.
[04:24.980 --> 04:34.020]  California's highest day of deaths was July 31st with 213 deaths.
[04:34.020 --> 04:38.420]  On November 13th, 77.
[04:38.420 --> 04:40.060]  Once again, the same format.
[04:40.060 --> 04:46.180]  In July, deaths as a percentage of the identified new daily infections, 2.6%.
[04:46.180 --> 04:50.460]  In November, that number is 0.7%.
[04:50.460 --> 04:54.860]  So in California, one quarter of what it was back then.
[04:54.860 --> 04:59.500]  Here's a graph from the data out of the state of Oregon and again the same thing, bottom
[04:59.500 --> 05:04.900]  of the red line as one thing started accelerating upward, October 18th.
[05:04.900 --> 05:12.300]  Single highest deaths in a single day in Oregon was July 28th with 16 deaths.
[05:12.300 --> 05:15.500]  On November 13th, 11.
[05:15.500 --> 05:20.860]  Same format, July deaths as a percentage of identified new daily infections, 5.3% back
[05:20.860 --> 05:26.580]  in July and a day or two ago in November, 1%.
[05:26.580 --> 05:30.460]  Less than a fifth of what it was in July.
[05:30.460 --> 05:36.020]  This is a graph of the data from the state of New Mexico and we see cases begin to accelerate
[05:36.020 --> 05:39.180]  back on September 20th.
[05:39.180 --> 05:44.540]  In New Mexico, back in the same time frame we've been talking about June-July, the highest
[05:44.540 --> 05:47.780]  death toll was 10.
[05:47.780 --> 05:52.140]  On November 13th, it was 22.
[05:52.140 --> 05:58.520]  Of the five states we're looking at, New Mexico is the only state where the November hard
[05:58.520 --> 06:02.660]  numbers, not as a percentage of anything, but the November hard numbers were higher
[06:02.660 --> 06:04.860]  than back in June or July.
[06:04.860 --> 06:09.100]  The other four states, the November death numbers were considerably lower.
[06:09.100 --> 06:11.700]  So New Mexico is the exception in that regard.
[06:12.260 --> 06:18.380]  We're just about into mid-November and the New Mexico deaths in a single day is a little
[06:18.380 --> 06:22.300]  bit more than double what it was in late July.
[06:22.300 --> 06:27.820]  The number of new daily infections is six times that.
[06:27.820 --> 06:32.260]  So if your deaths double, I'll just use the phrase double rather than, you know, 110%,
[06:32.260 --> 06:35.540]  we'll just say they doubled, right?
[06:35.540 --> 06:42.180]  Such new daily infections are six times as much, clearly the rate of death is significantly
[06:42.180 --> 06:45.780]  less, which is exemplified again in this format.
[06:45.780 --> 06:52.540]  July deaths as a percentage of identified new infections per day is 3.3% and in November
[06:52.540 --> 06:56.020]  now, 1.2%.
[06:56.020 --> 07:01.900]  As I said at the outset, people can quibble about these numbers and maybe, I don't like
[07:01.900 --> 07:05.380]  the outcome of these numbers, Dave, because this has moved or that has moved and that's
[07:05.380 --> 07:06.940]  factual.
[07:06.940 --> 07:11.220]  As I said, when you're comparing like June or July to now, there's no hard and fast way
[07:11.220 --> 07:14.420]  to seize on it and get an absolute comparison.
[07:14.420 --> 07:19.340]  That is mathematically and data-wise absolutely impossible.
[07:19.340 --> 07:23.860]  The main point I want you to take away from this is, for instance, in four out of the
[07:23.860 --> 07:32.100]  five states we looked at, deaths per day is down around half what it was back in June
[07:32.100 --> 07:33.100]  or July.
[07:33.100 --> 07:37.180]  These governors are like, oh, we have to lock everything down, wait a second, we're not
[07:37.180 --> 07:41.220]  talking about deaths as a percentage, we're talking about hard numbers.
[07:41.220 --> 07:47.220]  The hard numbers per day are very close to half what they were several months ago.
[07:47.220 --> 07:52.400]  So if the hard number of deaths per day is half what it was months ago, why the hell
[07:52.400 --> 07:54.500]  are we locking down society again?
[07:54.500 --> 08:02.740]  In other words, what we see is new daily infections going up considerably, while deaths per day
[08:03.180 --> 08:09.580]  in hard numbers, not as a percentage, in hard numbers are dropping dramatically.
[08:09.580 --> 08:16.460]  And as I said before, if a billion people were infected and nobody died, why would you
[08:16.460 --> 08:17.460]  care?
[08:17.460 --> 08:21.280]  And I ask that because that's the direction we're going.
[08:21.280 --> 08:25.020]  Since that's the direction we're going, why are we locking down again?
[08:25.100 --> 08:33.180]  I want to close by reminding you the once a year big Christmas special of the books
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[08:44.380 --> 08:48.940]  your mind and there's never a better time than Christmas season because it's the best
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[08:52.220 --> 08:56.300]  I'll put a link to the video in which I describe what the special entails down below.
[08:56.300 --> 08:56.940]  Enjoy it.