Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.000 --> 00:05.040]  I'm Dave Champion. I have embarked on a series of presentations concerning states
[00:05.040 --> 00:10.600]  that have ended their mask orders in looking at what the consequences, or lack
[00:10.600 --> 00:15.080]  thereof, are to the populace after the mask orders have been lifted and a good
[00:15.080 --> 00:18.720]  percentage of the people have stopped wearing masks. I've talked about Florida
[00:18.720 --> 00:22.760]  for a long time. I covered North Dakota, I don't know, two weeks ago, three weeks
[00:22.920 --> 00:29.840]  ago. On March 4th, I released a video concerning the state of Iowa and today
[00:29.840 --> 00:32.880]  it is Montana.
[00:32.880 --> 00:43.280]  I'm gonna begin by saying I never waste your time by bringing data to you until
[00:43.280 --> 00:46.880]  we have enough data that we can reach some reasonable conclusions and when it
[00:46.880 --> 00:50.160]  comes to things like removing a mask order or removing social distancing or
[00:50.560 --> 00:56.640]  businesses that you can generally detect whether a trend has altered one way or
[00:56.640 --> 01:01.560]  another or not within 21 days. So I set a limit when we're looking at this mask
[01:01.560 --> 01:06.280]  mandate issue, ending mask mandates. I set a limit of 21 days. I will not come
[01:06.280 --> 01:10.560]  to you. I will not take up your time to present data to you until it has reached
[01:10.560 --> 01:14.560]  21 days at least. As I'm sitting here talking to you today concerning the
[01:14.560 --> 01:19.520]  state of Montana, it has been 22 days. Now before I show you Montana, I want to
[01:19.520 --> 01:24.000]  take a quick run through of Florida, North Dakota, and Iowa so you have some
[01:24.000 --> 01:27.040]  framework of where we've been and where we're going. If you've been following me
[01:27.040 --> 01:30.360]  for any length of time, you know that I prefer to show you the data in graph
[01:30.360 --> 01:33.960]  form so you can actually see it rather than me just spilling it out to you. Here
[01:33.960 --> 01:38.920]  is the data reflected in the graph of Florida. You can see back here on
[01:38.920 --> 01:46.440]  September 25th is when Governor DeSantis lifted all COVID restrictions in the
[01:46.640 --> 01:51.640]  state of Florida. And then we see the numbers go up, it hits January 7th, and
[01:51.640 --> 01:56.520]  then it cascades down. All of that happened with no statewide mask order,
[01:56.520 --> 01:59.240]  although some counties and cities have them. That was without any statewide
[01:59.240 --> 02:03.800]  mask order. Plus DeSantis in his order where he lifted all statewide
[02:03.800 --> 02:09.640]  restrictions, he banned counties and cities from actually fining anyone for
[02:09.640 --> 02:13.600]  failure to wear a mask. In other words, they could write the citation. They
[02:13.600 --> 02:17.400]  can't take it to court and collect anything. There is something else I
[02:17.400 --> 02:19.520]  want to point out about Florida, so let's go back to the graph for a quick
[02:19.520 --> 02:24.120]  second. All right, so you see here the cases have risen pretty dramatically,
[02:24.120 --> 02:30.120]  yes? And then January 7th hits and the cases start cascading. Remember, there
[02:30.120 --> 02:34.640]  was no statewide Florida mask order when that happened. And that's the same
[02:34.660 --> 02:39.960]  exact pattern as winter hit. Numbers went up, up, up, up, and right around
[02:39.960 --> 02:44.320]  the beginning of January, flipped and cascaded down. That's the same exact
[02:44.320 --> 02:48.480]  pattern. The same exact pattern. I'm repeating that because it's really
[02:48.480 --> 02:53.800]  important. The same exact pattern has happened in states that had mask orders
[02:53.960 --> 02:58.520]  in place the whole time where you had nearly 100% compliance. Same exact
[02:58.520 --> 03:03.040]  pattern. So clearly, yeah, it made a difference. I also compared the state of
[03:03.040 --> 03:06.760]  California to the state of Florida. Now, I had to adjust for the disparity in
[03:06.760 --> 03:11.520]  population. I could have gone into things like adjusting for the disparity
[03:11.520 --> 03:17.920]  in age because Florida has by far a more ageing population than does
[03:17.920 --> 03:21.280]  California. You want to get into that. It's very complex, very tedious, very
[03:21.280 --> 03:24.240]  detailed. So I just stuck with population, which is going to give us
[03:24.280 --> 03:28.200]  what we need to know. And so once I adjusted for the disparity in
[03:28.200 --> 03:30.720]  population between the state of California and the state of Florida,
[03:31.040 --> 03:35.480]  guess what? With no business restrictions and no statewide mask order,
[03:35.680 --> 03:40.160]  Florida has done approximately 10% better across the board than
[03:40.160 --> 03:45.080]  California with a series of draconian lockdowns, a full time mask order,
[03:45.080 --> 03:48.320]  which is still in place right now. And I lived in California for 47 years. I
[03:48.320 --> 03:50.720]  have a ton of friends there and they told me the compliance rate is about as
[03:50.840 --> 03:55.920]  close to 100% as statistically possible. Yet Florida with none of that did 10%
[03:55.920 --> 03:59.040]  better. A couple weeks back, I did North Dakota. So let's take a look at that.
[03:59.040 --> 04:03.040]  Again, this is a graph from the data of the state of North Dakota. You see here
[04:03.040 --> 04:09.600]  the vertical black line. That's January 18th, when the governor lifted the mask
[04:09.600 --> 04:14.160]  mandate in the state of North Dakota. As you can see, yeah, cases continue to
[04:14.160 --> 04:16.760]  fall. Now you're not seeing a really steep decline right there. That happened
[04:16.760 --> 04:20.240]  obviously earlier in the year, as you can see off to the left. But it's
[04:20.240 --> 04:24.520]  continued its trajectory. Wouldn't expect to see it fall off a cliff like
[04:24.520 --> 04:28.600]  you did over to the left because yeah, they're almost at zero. But the
[04:28.600 --> 04:34.600]  important point being, here was the trajectory, mask order lifted,
[04:35.480 --> 04:40.280]  trajectory continued. In other words, you have to ask yourself, how much
[04:40.280 --> 04:44.560]  impact was mask wearing making? If removing it doesn't alter the
[04:44.560 --> 04:48.440]  trajectory at all. On March 4th, I released a video concerning Iowa. So
[04:48.440 --> 04:51.400]  let's take a really quick look at that. This is January 18th, when the governor
[04:51.400 --> 04:56.880]  lifted Iowa's mandatory statewide mask order. And yeah, as you can see, the
[04:56.880 --> 05:03.240]  trajectory just continues on just fine. It's almost like the masks didn't
[05:03.240 --> 05:07.400]  matter. Just a quick reminder, all the states we've looked at so far were
[05:07.400 --> 05:12.540]  states where there has been no statewide mask order in place for at least 21
[05:12.540 --> 05:17.840]  days. Now we're gonna get to state number four, which is Montana. This is
[05:17.840 --> 05:20.560]  a graph generated from the data in the state of Montana. You can see here the
[05:20.560 --> 05:25.980]  vertical black line is February 12th, when the Montana statewide mask order
[05:25.980 --> 05:30.820]  went away. You've got about 25 days to the left prior to the mask order going
[05:30.820 --> 05:36.120]  away. And you've got about 22 days post the mask order going away. And you can
[05:36.120 --> 05:43.580]  see the trajectory remains completely unchanged. It blows my mind that
[05:43.580 --> 05:51.120]  anybody can look at that and not see the obvious conclusion. And the series is
[05:51.120 --> 05:54.860]  not over, although those four states are the only states that have reached 21
[05:54.860 --> 05:59.980]  days or more at this point. We have Texas coming up, which will hit 21 days
[05:59.980 --> 06:04.980]  on March 23rd. We have Mississippi that will hit 21 days on March 24th, and we
[06:04.980 --> 06:11.780]  have Alabama that's going to hit 21 days on April 1st. So yes, I will be adding
[06:11.780 --> 06:16.300]  more episodes to this series so you can see exactly what I've been saying all
[06:16.300 --> 06:20.140]  along is true, is that the U.S. hit herd immunity back in January, early
[06:20.140 --> 06:24.580]  January, and cases are plummeting. And once you've hit herd immunity masks, if
[06:24.580 --> 06:29.460]  they ever matter, okay, I leave that to you to decide whether they in a prior
[06:29.460 --> 06:32.260]  non herd immunity environment, they actually brought something to the table.
[06:32.260 --> 06:36.640]  I leave that up to you. But clearly once the nation has hit herd immunity, we see
[06:36.640 --> 06:40.300]  there was no alteration in trajectory when you suddenly yank masks off of a
[06:40.300 --> 06:46.060]  large percentage of the population. So again, the conclusion is obvious. So how
[06:46.060 --> 06:50.660]  is the media reporting the story that these states have either lifted their
[06:50.660 --> 06:53.940]  mask orders, lifted all covid restrictions or have announced that
[06:53.980 --> 06:56.740]  they're going to? How is the media reporting that? Which I don't know, this
[06:56.740 --> 06:59.820]  is somewhere between humorous and disturbing, no matter, depending on how
[06:59.820 --> 07:04.260]  you look at it. And that is they have the headline, and then they have like
[07:04.260 --> 07:09.460]  maybe two or three sentences where they discuss what the governor has said. And
[07:09.460 --> 07:13.940]  then they spend the next seven or eight or 10 or 12 paragraphs trying to
[07:13.940 --> 07:18.580]  convince everybody why is such a terrible idea? Yeah, so that's journalism,
[07:18.580 --> 07:23.820]  right? Or is that called being a biased piece of crap supporting a false
[07:23.820 --> 07:30.860]  establishment narrative? So because the media is absolutely bias on this
[07:30.860 --> 07:33.420]  subject, best thing the media is biased about everything, right? You know, you
[07:33.420 --> 07:36.900]  got Fox on the right, you got CNN on the left, and they're both lying about
[07:36.900 --> 07:41.500]  whatever they want to lie about. But on this subject, most of the media is
[07:41.500 --> 07:47.660]  corrupt and bias. So what does that do for the value of a video like this
[07:47.660 --> 07:51.900]  where I'm showing you the actual data, the actual facts, the actual evidence? It
[07:51.900 --> 07:56.380]  makes it incredibly valuable. This is why you should share it with your fellow
[07:56.380 --> 08:01.100]  Americans so they can see the data in this kind of video. And then they do
[08:01.100 --> 08:04.340]  what I do. They see the headlines and they start laughing like, Oh, my God,
[08:04.340 --> 08:07.980]  these guys are such liars are such boneheads. But if you don't share this
[08:07.980 --> 08:11.260]  content, how will they ever have the frame of reference to make that call?
[08:11.260 --> 08:13.180]  Right? So yeah, share it.