Movedhousewithin thelast yearKnowswhat asundog isDoes adistancesportDogpersonHas aparrotDoes alot ofoutreachHas beento theArcticOceanModels(data orfashion)Has beenat sea for>1 weekIs anatmosphericscientistBrewsbeerFilters alot ofseawaterSpeaks>2languagesHas beento theSouthernOceanHas aGitHubHasa catFliesdronesFlewhere ona planeHas workedin a cleanlab (on landor on a ship)Flew aninstrumenton ER-2Knows moreaboutpolarimetrythan owningthe sunglassesDid fieldwork inthe lastyearHas beento aconcert inlast monthStarwarsfanHas useda weatherballoonClimberDoesNOT liketo teachbut has toCan tell afield workdisasterstoryIshungryright nowHas beenat sea for>1 weekPrefersto codein pythonWorkswithlidarHasconsideredbecomingan astronautScubadivesLovesaerosolsknows 3TaylorSwiftsongsHas doneairbornescienceDoesnot likepizzaWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento thePacificOceanHas used asun-photometerPlays amusicalinstrumentHasinteractedwith a CTD-RosettePlays amusicalinstrumentPrefers tocode inMATLABKnows amagictrickDrove acar >1hour toget herePrefersto codein RLovesrainbowunicornsWorkswithcitizenscientistsHas beento theAtlanticOceanLives >2hoursdrive tothe oceanDoeslakescienceMovedhousewithin thelast yearKnowswhat asundog isDoes adistancesportDogpersonHas aparrotDoes alot ofoutreachHas beento theArcticOceanModels(data orfashion)Has beenat sea for>1 weekIs anatmosphericscientistBrewsbeerFilters alot ofseawaterSpeaks>2languagesHas beento theSouthernOceanHas aGitHubHasa catFliesdronesFlewhere ona planeHas workedin a cleanlab (on landor on a ship)Flew aninstrumenton ER-2Knows moreaboutpolarimetrythan owningthe sunglassesDid fieldwork inthe lastyearHas beento aconcert inlast monthStarwarsfanHas useda weatherballoonClimberDoesNOT liketo teachbut has toCan tell afield workdisasterstoryIshungryright nowHas beenat sea for>1 weekPrefersto codein pythonWorkswithlidarHasconsideredbecomingan astronautScubadivesLovesaerosolsknows 3TaylorSwiftsongsHas doneairbornescienceDoesnot likepizzaWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento thePacificOceanHas used asun-photometerPlays amusicalinstrumentHasinteractedwith a CTD-RosettePlays amusicalinstrumentPrefers tocode inMATLABKnows amagictrickDrove acar >1hour toget herePrefersto codein RLovesrainbowunicornsWorkswithcitizenscientistsHas beento theAtlanticOceanLives >2hoursdrive tothe oceanDoeslakescience

Human Bingo: Find someone who... - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Moved house within the last year
  2. Knows what a sundog is
  3. Does a distance sport
  4. Dog person
  5. Has a parrot
  6. Does a lot of outreach
  7. Has been to the Arctic Ocean
  8. Models (data or fashion)
  9. Has been at sea for >1 week
  10. Is an atmospheric scientist
  11. Brews beer
  12. Filters a lot of seawater
  13. Speaks >2 languages
  14. Has been to the Southern Ocean
  15. Has a GitHub
  16. Has a cat
  17. Flies drones
  18. Flew here on a plane
  19. Has worked in a clean lab (on land or on a ship)
  20. Flew an instrument on ER-2
  21. Knows more about polarimetry than owning the sunglasses
  22. Did field work in the last year
  23. Has been to a concert in last month
  24. Star wars fan
  25. Has used a weather balloon
  26. Climber
  27. Does NOT like to teach but has to
  28. Can tell a field work disaster story
  29. Is hungry right now
  30. Has been at sea for >1 week
  31. Prefers to code in python
  32. Works with lidar
  33. Has considered becoming an astronaut
  34. Scuba dives
  35. Loves aerosols
  36. knows 3 Taylor Swift songs
  37. Has done airborne science
  38. Does not like pizza
  39. Writes wikipedia articles
  40. Has called into a PACE Science & Applications Team (SAT) Meeting
  41. Has been to the Pacific Ocean
  42. Has used a sun-photometer
  43. Plays a musical instrument
  44. Has interacted with a CTD-Rosette
  45. Plays a musical instrument
  46. Prefers to code in MATLAB
  47. Knows a magic trick
  48. Drove a car >1 hour to get here
  49. Prefers to code in R
  50. Loves rainbow unicorns
  51. Works with citizen scientists
  52. Has been to the Atlantic Ocean
  53. Lives >2 hours drive to the ocean
  54. Does lake science