Aliens

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Aliens

  1. 1. IMSL - Alien Activity Reporting Division* * So Damned Secret, We Don’t Really Exist.
  2. 2. UFO Activity Reporting in the UKUp until 01 Dec09 the Ministryof Defence inthe UnitedKingdom keptrecords ofevery sightingof anunidentifiedFlying Object(UFO) reportedby members ofthe public.
  3. 3. The Ministry of DefenceWe don’t know whythe government wentto the effort ofcollecting andrecording thisdata*, but we’ve notseen any coherentanalysis of it.So what does thisdata tell us aboutUFO sightings overthe UK?* It’s possible that this was a cold war legacy issue, and there wereconcerns regarding the presence of enemy aircraft over the UK. Thenagain, it’s not unknown for the UK MoD to do things without having anyspecific objective, logic or rationale in mind…
  4. 4. Where do UFO sightings occur?locations of individual ‘heat map’ givingincidents. concentrations of activity.
  5. 5. Where do UFO sightings occur? #2If you want to see a UFO population density ofgo to Anglesey (it may Britian. (light green =be Prince William in a low pop density)Helicopter) or Cornwall(it may be the cider…) For a UFO sighting you need two things – the viewer and the object itself.Correlations Clear More viewers = more likelihood of a sighting? But also interesting anomalies…
  6. 6. When do UFO sightings occur? Your best chance of seeing a UFO (as opposed to a chinese lantern or a firework) is mid-July to mid September.No spike for new- Interesting period ofyear fireworks… heightened activity with no immediately Halloween apparent explanation. Bonfire Night. Weekend closest to Diwali Chinese Lantern Festival
  7. 7. When do UFO sightings occur? #2Need to insert a timewheel here – I think it will show that sightings tend to peak at theweekend, particularly around pub throwing out time…
  8. 8. Is it the drink? Left: shows UFO reporting. Right: shows Alcohol consumption in the UK. No clear correlation between alcohol consumption and UFO sightings on available data…
  9. 9. Trends and Patterns in Appearance By far the most common colour for a UFO is Red / Orange By far the most common shape for a UFO is circular / spherical. Are we seeing quite a lot of Chinese lanterns being reported as UFOs?
  10. 10. Are any sightings corroborated?By picking one day(25 Jul) we can seethat the sightings Data for these eventsare spread across the shows sinificantcountry. Only two discrepancies in(Reading area) are shape, colour andclose enough to be number of objects.likely to be the sameobject…
  11. 11. Are any sightings corroborated? #2 By focussing in on just one colour of UFO (white) we can see a similarly large geographical and temporal distribution. Looking at the source reporting shows that there are significantBut interestingly the differences between the accounts.two temporally closeevents are alsogeographically close…
  12. 12. Who Are IMSL?IMSL are insert guff here.We don’t really have an Alien Activity Reporting Division.We just found an interesting dataset.But the question we would like you to ask is this: If a bunch of geeks can do this with some quirky data about aliens, what insight could they provide you by using the same tools and techniques on your data?.Drop us an email, and let’s talk. Because... THE TRUTH IS OUT THERE!
  13. 13. ReferencesFind the raw data on UFOs here:http://www.mod.uk/DefenceInternet/FreedomOfInformation/PublicationScheme/SearchPublicationScheme/UfoReportsInTheUk.htmFind out more about the awesome Palantir intelligence platform here:http://www.palantir.com/government/analysis-blogPhoto of office workers on slide three (who have nothing whatsoever to do with theMOD) is taken from this site:http://www.impactlab.net/2010/08/24/the-end-of-modern-management-and-corporate-bureaucracy/Wales population stats from:http://en.wikipedia.org/wiki/List_of_Welsh_principal_areas_by_population_density
  14. 14. MethodologyIn order to produce the slides below we:• Took the PDF for all the 2009 data (the most recent) and converted it into an spread-sheet.• Got rid of any data which was too vague / nebulous to use (lack of dates, locations etc)• Allocated a grid to all of the locations given. For larger towns and cities, where no specific location was given, we chose the centre of mass for that area.• Drew out some specific elements of the data which appear as ‘free text’ – for example, colour, number of objects and direction of travel. We then entered these as separate columns in the spread-sheet for each incident.• Imported the data onto the Palantir Analysis Platform.• Used publicly available files giving the administrative boundaries in the UK in conjunction with statistical data for different variables (population, alcohol consumption etc)• A complete list of sources is given on the penultimate slide.

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