From: kymhorsell@gmail.com   
      
   We've prev looked at my dairy entries for mostly 2022 correlated against   
   weather data for each 10x10 deg region across the earth.  The data   
   series used were all month-based. Many science organisations release   
   monthly gridded data for land/air/ocean temperatures, earthquakes,   
   cosmic rates, etc.   
      
   When correlating the sightings from the diary month-by-month against   
   the 1000s of available published datasets we found the "usual suspect"   
   areas of the world lit up like xmas -- key parts of Antarctica,   
   Africa, S America, and the Atlantic had weather data that showed   
   non-chance resemblances to the ups and downs in the sightings dataset.   
   We have to assume those regions, for whatever reason, somehow   
   "predict" the appearance of unusual objects I see over my property   
   from time to time.   
      
   And now we'll push a bit harder and use another dataset I gather and   
   process for various purposes -- daily sea surface temperatures.  This   
   time the gridding is fine on both the time and spatial dimensions.  It   
   comes from various organisations that process satellite data where the   
   sats in question have IR cameras pointed down at the earth.  Some   
   groups use the IR info to measure the temperature of the ocean surface   
   or near-surface at local nighttime, when clouds and the reflection of   
   the sun don't interfere or blind the camera, respectively.  You can   
   generally get a daily read on ocean temp for each 1x1 deg area of the   
   earth between (say) 70S and 70N.   
      
   Just for fun I made the problem a bit harder than usual for the AI   
   programs.  Instead of giving them the data for each 1x1 deg area of   
   the oceans I used a dataset I created some years back to predict ocean   
   storms and US tornadoes. It's region-based. The model I developed back   
   then was intended to predict the development of e.g. hurricanes and   
   typhoons based on changes in SST in key regions. The idea of that   
   exercise was to find out which regions were the best predictors and   
   exactly how to process the IR data to get the best predictions into   
   the future.   
      
   So taking data for the 58 regions the programs discovered back then   
   and feeding it to new programs now, I want them to create a density   
   plot showing which areas of sea surface seem to warm and cool in exact   
   sync with the way the number of objects I've seen cross over the sky   
   or dance around with small aircraft -- as the case may be -- over the   
   past few years. And does that look like the density map we already   
   created with the monthly datasets I gave it before?   
      
   The programs this time had some small problems trying to translate the   
   name of a region to specific parts of the ocean and then plotting the   
   relevant correlation coefficient (I normally use the so-called   
   "explanation power" of time-series regressions as an indication of how   
   well the weather data at some location matches up against UFO data   
   from somewhere else; as usual the TS regr must pass 2 stat tests before   
   it is accepted; of those stat tests that pass for each region of the   
   map the best one -- the largest R2 -- is selected as the correlation   
   value to plot). But it managed a fairly good answer even tho it does   
   have an interesting couple of errors.   
      
   The plot is available here: .   
      
   It is in reasonable agreement with the prev plot based on totally   
   different data. As before, the Antarctic and Southern Oceans feature   
   prominently. Some key regions of some continents also show up.  And   
   some key regions of a couple seas we did not see in the prev map --   
   but we have seen before on similar maps using NUFORC data that mostly   
   relates to objects seen over the US and Canada -- also light up.   
      
   There are a couple of "errors" that it will be hard to explain to the   
   AI's so they get it right next time. :) The first one -- it's assigned   
   a default value for the world as a whole.  Even tho the data used   
   were regions of the ocean, the AI didn't twig that land should   
   probably be marked "unknown" (or black in color on these maps)   
   rather than given it some low correlation value based on the average   
   of the correlation values it found for the 58 regions given.   
      
   And a more amusing error we see at the edges of the map. For "some   
   reason" the mid-Pacific is shown at sig higher correlation than the   
   average for that ocean. And we also see high corr across the far N and   
   far S latitudes.  All around the edges of the map we see what looks   
   like artificially high correlation values.   
      
   It turns out *this* is related to how the AI interprets what "regions"   
   area.  It has a generalized idea what the "Arctic" and "Antarctic" are   
   based on language use. I.e. very similar to the ideas used in some   
   high-profile products from Microsoft and Google. But when it comes   
   to specific locations like "lat 90, lon -180" the AI is not too sure   
   whether that is INSIDE the Arctic region or outside. And it chooses   
   outside. Where the correlations we're interested in here are larger   
   because they correspond with a "world average".   
      
   This is part of the fun of using AI programs. Trying to figure out   
   why they said something obviously strange.   
      
      
   --   
   [Secret UFO recovery program blown open:]   
   I hope this revelation serves as an ontological shock sociologically   
   and provides a generally uniting issue for nations of the world to   
   re-assess their priorities.   
   -- David Grusch, 05 Jun 2023   
   [Talking to Les Kean et al for The Debrief, Grusch called for an end to   
   nearly a century of global UFO secrecy and warned that humanity needed to   
   prepare itself for "an unexpected, non-human intelligence contact scenario"].   
      
   [David Grusch's] assertion concerning the existence of a terrestrial arms   
   race occurring sub-rosa over the past eighty years focused on reverse   
   engineering technologies of unknown origin is fundamentally correct, as   
   is the indisputable realization that at least some of these technologies   
   of unknown origin derive from non-human intelligence.   
   -- Col Karl Nell (ret), 06 Jun 2023   
      
   Aliens could be hiding in 'terminator zones' as UK sees surge in new UFO   
   sightings   
   Daily Express, 05 Aug 2023 10:44Z   
   Aliens could be hiding and thriving in "terminator zones", according to   
   astronomers. A study published in April claimed extraterrestrial life could   
   exist in so-called terminator zones, the border ...   
   [There are some indications in the data there could be "bases" way out   
   in the outer solar system. But the space telescope images show   
   activity in all directions that correspond with UFO sightings over N   
      
   [continued in next message]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)