[For previous posts see the archive at <kymhorsell.com/UFO/Archive>].

EXECUTIVE SUMMARY:
- Some of the patterns we're seeing in covid are highly unusual, even
for an unusual disease.
- Periodic surges around the world seem to be synchronized even
between countries that are not presently connected by non-isolating
transport.
- AI s/w (statistical programs run by planning, reasoning and learning
s/w) is finding a large number of situations where sightings of
UFO's across (mostly) the US are strongly associated with surges in
other countries.
- Only a small number of "types" of UFO sightings are associated with
covid outbreaks. Some are apparently associated with +ve surges and
some are apparently associated with declines in covid cases.
- The majority of UFO types are not (at present) implicated in any
connection with covid.
- One example is presented showing how Sphere UFO activity seen in the
US seems to cluster around the low-points in covid in the UK.
Meaning they are also associated with surges in covid that typically
happened 10-20 days after an outbreak is sparked.


For some time now there have been rumors about a connection between
unknown aerial objects and the covid pandemic.

Just as the problem was gearing up in early 2020 I was developing an
epidemic model and I tried it out on the parameters for the virus as
they were then known. With some parameters for various populations
around the world the model showed an unexpected-to-me tendency to have
surges of disease roughly every 100 days.

As the data started to accumulate it showed increasingly there were
peaks roughly every 100 days many places but they seemed to start *on*
or about every 100 days as counted from 1 Jan 2020.

I did little more than look as some graphs I used to maintain on a
website someplace, but it seemed many regions/countries that were
having severe problems with covid showed periodic peaks every 100 days
starting to rise on the 100-numbered day marks. Many times also some
of these peaks got missed out or -- worse -- merged with the previous
surge with no return-to-almost-zero in between.

So with several peaks now in the various databases -- I use the JHU
database that breaks down cases by countries, regions and even some
major cities all around the world -- there seems to be enough data to
start pointing fingers.

I don't like to post things that make negative comments about some
nebulous group without some kind of solid evidence. My various AI
programs have been working all the last 12m in the background churning
through all the various cross-correlations in all the data they've
either uploaded recently or had on file for decades. There's 10s of
1000s of small databases in the collection that is now running around
1/2 TB in all.

And all this cross-correlating has come up with numerous instances
where sightings of some particular types of UFOs seems solidly linked
with events that have negative consequences for people. E.g. at first
there seemed little evidence that UFO activity was related to aircraft accidents. That no longer seems to be the case. There seems to be
plenty of good evidence that certain types of UFO sightings solidly
predicts later nearby aircraft accident. Similar for power outages (at
least for the US). Similar for missing persons (so far data only for
US, UK and AUS). And a few other things.

The more the s/w looks the more examples it finds.

We should hasten to point out "UFOs" like any complex phenomenon is
not a uniform blob of stuff that all behaves exactly the same way.
Within the various types of phenomena involved there seem to be a big
chunk that is unrelated to events that have negative implications for
people. There seems to be a smaller chunk that seems to be associated
with activity that has benefits for human beings, possibly working to
offset the third group that seems definitely linked with negative
events like missing periods, unsolved homicides, power outages,
airplane crashes, etc.

ANd now it seems we can start to ID similar subsets of UFO phenomena
that are linked with +ve or -ve effects related to the global
pandemic of covid-SARS-2.

Perhaps first we should recall that certain world events seem related
to "interplanetary events". I'm sure it's often pointed out in folklore
that the close approach of Saturn in particular seems to be associated
with "big things" in the immediate past. E.g. WWI and WWII were both
around the time of a close approach of Saturn that happens every ~29
years. Korea, Vietnam and Iraq where perhaps less world-spanning but
also notable events that happened around the time of a close
approach. And the interesting outbreak of SARS-1 also happened at the
time of a close approach.

This may be all down to selection bias. The current pandemic is 10
years ahead of the next close approach. But I would circle 2030 in
your calendars and maybe someone should start preparing for more than
upping their carbon emission commitments around then.

As a very small initial sample of what the AI's have been assembling
is the following daily-level linking of a type of UFO sightings (as
usual I'm using the NUFORC database) with variations on new daily
covid cases.

In this instance the correlation is significant NEGATIVE. I.e. in
the US when people see more Sphere UFO's buzzing around then over in
the UK they are "usually" seeing a bottoming out in covid numbers --
i.e. they are between surges.

You might think that a negative correlation clears the particular
sightings with having any negative connotations. Maybe they are
actually "helping" to keep virus cases down somehow?

Nope. It works the other way. If you can find a big -ve corr that
shows more X are happening around the times of low levels of covid,
what happens 14 days later after enough time for disease to incubate
if it had somehow been seeded 14 days before? Since the low points are
the big -ve corr then all that's left is a +ve corr or no connection.
Because the more Sphere's at T mean less covid in the UK at T, we
suspect out of the box that at T+14 there will be more covid and more
Spheres at T is associated with more covid at T+14 somehow pointing to
a "seeding event" associated with the Sphere activity.

And that's the kind of pattern that keeps re-appearing all around the
world.

It's hard to tell at present what a good estimate of "how much" these
patterns are responsible for in terms of new cases and deaths. But at
this points it seemed almost certain it is not zero.

On the other hand, as I said, there seem to be other types of UFO
events that are exactly the opposite. They are more active at the high
points of remote covid surges, and some time later that are therefore associated with large reductions in disease. If we suspect one type of
activity is associated with boosting covid, it seems other types of
activity must be associated with trying to tamp it down. Also, as I
said above, likely the vast majority of UFO activity has nothing to do
with covid either way.

To give a flavor of the kinds of patterns we keep finding see the
output below. We've taken day-by-day data for UFO sightings and daily
new covid cases from the UK and divided them up into sequential bins
of 14 days. Each bin contains the total number of UFO sightings of the
given type (Sphere) at that time, along with the total number of new
daily UK covid cases.

The bins are then rigorously correlated and subject to 2 good
statistical tests. If one test is off the other should compensate. We
should very rarely see both tests give the wrong answer -- the odds
of that are between 1 in 1000 and 1 in 10,000.

With a total of 200 countries and 20 UFO types we would normally then
see a possible error in at most 4 of them. But the s/w finds about 1/2
of the combinations should some strong relationship -- either +ve or -ve.

When the Pentagon announced a few weeks back it could not determine
how Covid started in China they maybe know what they're talking about.
A similar set of data shows China's original cases are subject to the
same pattern as the UK. When people in (mostly) the US were seeing
higher levels of UFO activity China was seeing less cases. Within the incubation time there was a huge surge in China, pointing to a
possible association between those UFO events and a "seeding" that at
least partly might have been responsible for the surge in cases.


Sample output. WARNING: numbers ahead.

Regression ufoSphere-covid-daily-cases-unitedkingdom.reg. =========================================================

I.e. daily Sphere sightings reported in NUFORC correlated against UK
new daily covid cases reported in the JHU database.

The covid data was first put through a 7d smoothing to allow for
possible weekly cycles in data processing in the UK.

The R2 shows about 6% of UK covid seems to follow the ups and downs of
Sphere UFO sightings in the US.

The \beta is -ve and stats tests say it is unlikely to be +ve based on
this data. For "some reason" when there are low covid cases in the UK
at the same time in the US they are seeing increased number of Sphere
UFOs. And vice-versa.

Both stats tests used (a T-test and a Rank Test) are >= 95% sure there
is a link. I.e. we expect less than 1 chance in 4000 there is NOT a
real link between the 2 things. If we did 4000 tests like this we
would expect only about 1 of them to be wrong.


MODEL:
(Durbin-Watson d = 0.183633; d < dL (1.513158): Positive auto-corr at 5%). (AUTO CORR CORRECTION; estimated rho = 0.794433).
y = -3218.12*x + 274140
beta in -3218.12 +- 3208.07 90% CI
alpha in 274140 +- 22175.9
r2 = 0.06499113
T-test: P(beta<0.000000) = 0.950512
Rank test: calculated Spearman corr = -0.557082
Critical Spearman value = 0.432000 2-sided at 1%;
reject H0:variables_are_not_connected

Binned data
(14-day bins;
bin 0==1 Jan-14 Jan 2020)
Bin: #Sphere reports Total new covid Model-estimated
in NUFORC cases after 7d covid cases from
as at Nov 2021 smooth Sphere sightings
3 2 0.571429 267704**(YUGE over-est)
4 22 198.143 203342**
5 10 4789.29 241959**
6 34 38114 164724*
7 37 72006.2 155070*
8 26 67301.9 190469*
9 13 58672.6 232305**
10 13 33591.1 232305**
11 11 21528.3 238741**
12 18 15812.9 216214**
13 21 8723.71 206560**
14 16 9693.29 222651**
15 23 11238.4 200124**
16 20 15001.1 209778**
17 19 20938 212996**
18 13 45461.4 232305**
19 12 96816.4 235523*
20 18 220223 216214 model approx
21 6 303493 254832 correct
22 11 330103 238741*
23 11 262796 238741
24 18 227619 216214
25 9 432344 245177**
28 9 301925 245177
29 6 185193 254832
30 5 113567 258050*
31 8 79990 248396**
32 8 67974.6 248396**
33 6 36114.9 254832**
34 8 33251 248396**
35 13 30541.9 232305**
36 11 33282 238741**
37 11 73578 238741**
38 6 150756 254832*
39 5 356854 258050*
40 1 580620 270922**
41 6 384726 254832*
42 6 416095 254832*
43 7 479378 251614**
44 6 471103 254832**
45 6 468180 254832**
46 2 526902 267704**
45 6 468180 254832**


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[continued in next message]

--- SoupGate-Win32 v1.05
* Origin: www.darkrealms.ca (1:229/2)