From: kymhorsell@gmail.com   
      
   I got a LEEETIL carried away with this post.   
   So it had to be split into 2 parts.   
   In any case, all the posts I've made on UFO's are at .   
   A lot of people have scanned them. Even some people that seem to be located at   
   US Airforce bases. ;)   
   Since I havent been contacted (AFAIK!) they either regard the material as junk   
   or they know it all already. I'm assuming the latter. :)   
      
   Footprints in the data -- where UFOs come from and where they  have been   
      
   EXECUTIVE SUMMARY   
   - there are many interesting links between planetary movements   
     and UFO reports.   
   - some links suggests a good fraction of UFO reports are mis-identified   
     planets. But this explanation can in no way explain planets are are   
     not visible to the naked eye or even small telescopes.   
   - We see that one planet stands out as a possible "origin" or "gas station".   
     Other planets may be "way-points" along the way to Earth.   
   - the extra-solar asteroid Oumuamua has left traces in UFO reports.   
     Since it was not visible to most telescopes during its short holiday   
     around the sun, we suspect the link may be of the "way-point" or   
     "side trip" kind.   
      
   The Pentagon's UFO wrangler Dr Sean Kirkpatrick has just testified   
   before a Congressional public hearing today. Reports are still coming   
   in about what he actually said. The presentation included 2 new   
   videos, it seems.  Elsewhere, the ructions created by his appearing as   
   2nd author on a still-unpublished paper speculating about "alien   
   mother-ships" and similar things apparently is only expanding.  But   
   independent of what Pentagon officials say in public, some new   
   tinkering from my always-tinkering programs finds there are some   
   interesting footprints left in the data that may indicate where UFO's   
   come from as well as where they may have "just visiting".   
      
   A basic digital investigative tool is comparing different datasets.   
   The theory goes that any process that takes some kind of control input   
   leaves an imprint of that input in the output from the process.  In   
   math notion we might write y = f(x) where x is the input, y the output   
   and f(x) means the process applies some kind of transformation to the   
   input to produce the output. The basic math (Taylor series) dating   
   back to the start of the 18th century shows that if the input x is   
   composed of e.g. 2 parts -- let's call them a "signal" and "noise" --   
   then the output also contains some identifiable components that   
   correspond with transformed versions of the same signal and noise. In   
   particular, the noise should appear in the output amplified by some   
   amount. In this way it is possible to track down which inputs a   
   process used to produce its outputs.  In math notation we have   
   f(s+n) ~= f(s) + a.n.   
      
   In the case of interest to us here, the process is "UFOs" and the   
   output is e.g. "NUFORC sighting reports". We would like to know out   
   of all the possible variables and data out there in the universe,   
   which ones go to make up the UFO outputs. Can we find out where they   
   come from by analysing the noise inside the sightings reports?   
      
   As with all things "sciencey" the proof is in the pudding. The golden   
   rule is -- if you can correctly predict something from your   
   assumptions then you have captured something about how the universe   
   works. So if we can predict something about UFO reports from e.g. data   
   about the movements of planets and stars then we have determined   
   something about how UFO's work.   
      
   I have previously posted quite a few pieces along these lines and this   
   article is no different. But I will underscore some of the gritty   
   details I may have left to the Gentle Reader in the past.   
      
   It comes as no surprise that some people have long suspected an   
   association between UFO's and Mars because sightings were suspiciously   
   more numerous at the close approach of the Red Planet and declined   
   when Mars was on the opposite side of the sun.   
      
   Other researchers have found the movement of Saturn is also somehow   
   predictive of UFO reports. When Saturn is close -- that happens every   
   year as the earth moves around the sun and "laps" Saturn in its own   
   30y journey -- sightings seem to run at high levels, when Saturn is on   
   the other side of the sun they are lower, and when Saturn is   
   particularly close -- which happens approx every 30y -- sightings are   
   near their all-time highs.   
      
   But let us now put these historical findings on the back-burner and   
   just go through all the possibilities (well, some of the all) and see   
   which planets seem to predict the rise and fall of UFO sightings.   
      
   The JPL "Horizons" database provides fine-grained observations and   
   modelling of the motion of "many" (millions) of objects around the   
   solar system. It is used for NASA mission planning, among other   
   things, and supposedly can determine the position of anything bigger   
   than a house to an accuracy of meters for any time over a 30,000 year   
   time-span.  There are, of course, many exceptions because some   
   observations are not that accurate. But at least for the planets and   
   many asteroids this claim is generally true.   
      
   So we can day by day or second by second take the position of each   
   planet and compare that data against the day by day (or second by   
   second, if you like :) number of UFO sightings reported to the   
   NUFORC. If there is a strong statistical link we can argue "something"   
   about that planet seems to predict a bump in UFO sightings and maybe   
   -- given some experience -- we can figure out why that is -- what it   
   is about that planet that causes that link.   
      
   So let's look at some of the links. The following is the latest run   
   from comparing day by day planetary data against UFO sightings up to   
   the start of the month. The program that does this looks at each type   
   of planetary data, transforms it in various ways including adding time   
   delays from 0 to 30 days, and determines whether it is sufficiently   
   simular to the ups and downs of UFO sightings numbers to claim "very   
   unlikely" the similarity could happen just by luck.  It uses 2   
   different tests that make different assumptions about the data, it   
   tries to ensure the assumptions are justified, but the pair of tests   
   anyway complement each other and if they both say there is less than a   
   10% chance the planetary data and UFO sighting data could be so   
   similar just by luck, then we can say there is overall only around 1%   
   chance they could be so similar, and that's good enough to suspect   
   there is a connection between the 2 things.   
      
   The results in tabular form look like:   
      
      
   [continued in next message]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)