Newsgroups: alt.paranet.ufo
From: kymhorsell@gmail.com
Subject: decoding UK crop circles

[uploaded 39 times; last 19/10/2024]

EXECUTIVE SUMMARY:
- We build on prev work linking crop circles and UFO sightings.
- Several types of UFO's are strongly related to the appearance or
  non-appearance of key features in UK crop circles.  Some types of
  UFO's represent only a small minority of all sightings but some
  closely-associated types represent as many as 1/3 of all sightings
  across N America.
- The predictive models found here are somewhat complicated and only a
  computer would love them.  But the link between circles and UFO's is
  highly unlikely to be just chance.  We demonstrate one model
  where the appearance of certain keywords and non-appearance of
  others in crop circle reports predict around 1/3 of UFO sightings in
  the following month.
- While the majority of circles may be hoaxes or "mistakes", like UFO
  phenomena it seems a core of them are interesting and "mutually
  validated" by certain types of UFO sightings in following weeks.


In a prev post we saw crop circles in the UK seem to contain
information about future UFO activity. Who is creating the more
interesting circles and whether the linkage with UFO activity is
intentional or incidental was not determined.

More number crunching has now revealed a vague association between
certain features as described for circles documented on
<http://www.ukcropcircles.co.uk/>. And we can also establish an
ordering of which types of UFO activity are better predicted by those
crop circles. Roughly, we can decode what the crop circles are talking about.

At this point the patterns are not as simple as linking one circle
feature with a specific type of UFO activity. It seems the circles are
"talking about" more general things than a specific event at a
specific time and place. But the associations are nevertheless
statistically "strong".

We might use the information to decide which crop circles and UFO
sightings are more likely to be "real" unusual phenomena.  Obviously,
like reported UFO activity crop circles appearing over the UK
countryside are mostly likely to be "mistakes" of one kind or
another. Those not created by hoaxers with boards and ropes may be
relatively in the minority of reports.

Breaking down UFO sightings (NUFORC) and crop circles into monthly
totals, adjusting for certain biases (e.g. in UFO sightings most
sightings are reported on Sats and the least on Mons -- we can
adjust the numbers to show what *should* be reported if people were
equally observant on every day of the week) we can build predictive
models for each UFO type based on the presence or absence of keywords
from crop circles seen in the immediately preceding month.

Putting that through a package that handles all the data reasonably
carefully (handling missing values appropriately, adjusting for serial
correlations, robust statistical tests on each model and also on each
estimated coefficient in the models) we find the "top 10" models in
terms of predictive power are:

Model	    R2
dark        0.62260
-Light      0.60544
Fireball    0.59755
-orange     0.58111
Disk        0.56184
Fireball    0.54785
-Other      0.54650
-red        0.54426
-Cone       0.53796
-Egg        0.52568
(The "-" can be read as "not").

The "models" are the features of the UFO sightings being
predicted. The R2 shows what% of the month-to-month variation
in UFO sightings are predicted from crop circles in the prev
month. All of the top 10 show the "majority" of UFO sightings (as
adjusted for various biases) are described by features in UK crop
circles. This might seem amazing given experts estimate only around
10% of UFO sightings in N America are anything "really interesting".
(I noticed an estimate from the French GEIPAN was even smaller, at 3%). 
But the explanation is the R2 applies only to those sightings
with the given "feature".

I.e. crop circles seem to predict 62% of UFO's next month that are
described as "dark". But "dark" UFO's represent only around 2% of all
reports. So it's only about 1% of all reports being predicted.

Interestingly, the 2nd-best group detected by this process are UFO's
described as other than "lights". Ufologists generally discount
reports of "lights in the sky" these days with all manner of
technology that can spoof various types.  E.g. satellite trains, LED
kites, drones, drone swarms, etc.

But "not lights" is a fairly large group. About 50% of all
sightings. It seems crop circles predict 60% of non-lights UFO
sightings which represents 30% of all reports.  Quite a big chunk!

It may be a subset of crop circles "validate" as many as 1/3 of all
American UFO sightings, far in excess of what experts previously
believed represented unusual phenomena.

Other groups may indicate even larger subsets. E.g.  "orange" UFO's
represent around 18% of all sightings.  It seems 58% of "not orange"
UFO's are predicted by crop circles features -- i.e. 48% of all
sightings.  "red" UFO's are about 8% of sightings. About 54% of "not
red" UFO's are predicted by crop circle features -- around 50% of all
sightings.

The models discovered by the s/w, as described above, are not all that
easy to understand. We can look at the "not red" model more closely
(given it describes 1/2 of sightings :).

The crop circle keywords from a given month that predict "not red"
UFO's next month in N Am are:

-central
-circular
-formation
ground
laid
large
like
many

I.e. the model shows the number of UK circles in a month that feature
keywords "ground", "laid", "large", "like", or "many", but NOT include
keywords "central", "circular", "formation" is strongly connected
with the number of UFO reports in the next month that do not contain
the keyword "red".

If we were expecting to decrypt the pictorial language of crop circles
we might be disappointed it is not one pictorial feature per UFO keyword.

But it gets worse. No-one said the more reports with "ground" or the
fewer without "central" meant more "non red" UFO's next month. The
model allows the coefficient linking a crop circle keyword and UFO
sightings to be -ve as well as +ve.

The full details of the "not red" model are;

    VARIABLE     COEFFICIENT    STAND. ERROR     T - VALUE     P - VALUE
   ----------------------------------------------------------------------
         DATE         0.00008         0.00012       0.61284       0.54394
-central              0.07512         0.14152       0.53082       0.59889
-circular             0.43892         0.11970       3.66688       0.00081
-formation           -0.39418         0.18711      -2.10670       0.04238
ground                0.96502         0.43684       2.20910       0.03381
laid                  0.07426         0.06050       1.22748       0.22783
large                 0.00415         0.07574       0.05475       0.95665
like                 -2.76230         1.28030      -2.15755       0.03791
many                 -0.67650         0.36273      -1.86501       0.07058
     CONSTANT        -9.48040        24.67817      -0.38416       0.70318

 WEIGHTED SUM OF SQUARES =         3.48311
 DEGREES OF FREEDOM      =        35
 SCALE ESTIMATE          =         0.31546
 COEFFICIENT OF DETERMINATION (R SQUARED) =        0.54426
 THE F-VALUE =        4.644 (WITH   9 AND   35 DF)   P - VALUE = 0.00044
 THERE ARE    45 POINTS WITH NON-ZERO WEIGHT.
 AVERAGE WEIGHT          =         0.81818

The "F-VALUE" shows the model is statistically strong. There is less than
1 chance in 1000 (the P-value) the association between this type of
crop circle in one month with UFO sightings in the next month could
just be due to lucky coincidence. We are "pretty sure" the 2 things are
linked.  The R SQUARED says about 54% of month-to-month variations in
"not red" UFO sightings is predicted by the model (i.e. around 1/3 of
all sightings).  And the "scale estimate" says the model predicts next
months total of not red UFO sightings within about +-30%.

From the "coefficients" we see the keyword "like" in a crop circle
description has the biggest effect. For each crop circle report in one
month that contains "like" there are almost 90% fewer not-red UFO's
next month. (A log transform is in effect and exp(-2.7) is around .06).
At the other end of the scale each crop circle in one month
with keyword "large" may be associated with 0.4% more not-red UFO
reports next month.

So it's a model only an AI would love. But suffice to say there is a
link between crop circles and UFO sightings that shows a large chunk
of UFO sightings -- at least the ones at NUFORC -- are foreshadowed by
crop circles in the prev month.

As before, whether the information in crop circles is deliberately
planted or is some kind of accident can't be determined by these data.

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