Movedhousewithin thelast yearFliesdronesHas used asun-photometerKnows amagictrickknows 3TaylorSwiftsongsScubadivesDid fieldwork inthe lastyearHas beenat sea for>1 weekDrove acar >1hour toget hereWorkswithradarSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beenat sea for>1 weekPrefers tocode inMATLABLives >2hoursdrive tothe oceanHasinteractedwith a CTD-RosetteDoesnot likepizzaHas aGitHubPrefersto codein RHas doneairbornescienceCan tell afield workdisasterstoryWriteswikipediaarticlesKnowswhat asundog isStarwarsfanDogpersonHas workedin a cleanlab (on landor on a ship)Hasconsideredbecomingan astronautHas useda weatherballoonDoesNOT liketo teachbut has toHasa dogHas beento thePacificOceanLovesaerosolsDoes adistancesportKnowswhat asundog isHas beento theArcticOceanModels(data orfashion)Hasa catFlewhere ona planeDoes alot ofoutreachPrefersto codein pythonHas beento theSouthernOceanIs anatmosphericscientistHas beento theAtlanticOceanHas beento aconcert inlast monthWorkswithcitizenscientistsFilters alot ofseawaterKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentClimberWorkswithlidarDoeslakescienceIshungryright nowPlays amusicalinstrumentMovedhousewithin thelast yearFliesdronesHas used asun-photometerKnows amagictrickknows 3TaylorSwiftsongsScubadivesDid fieldwork inthe lastyearHas beenat sea for>1 weekDrove acar >1hour toget hereWorkswithradarSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beenat sea for>1 weekPrefers tocode inMATLABLives >2hoursdrive tothe oceanHasinteractedwith a CTD-RosetteDoesnot likepizzaHas aGitHubPrefersto codein RHas doneairbornescienceCan tell afield workdisasterstoryWriteswikipediaarticlesKnowswhat asundog isStarwarsfanDogpersonHas workedin a cleanlab (on landor on a ship)Hasconsideredbecomingan astronautHas useda weatherballoonDoesNOT liketo teachbut has toHasa dogHas beento thePacificOceanLovesaerosolsDoes adistancesportKnowswhat asundog isHas beento theArcticOceanModels(data orfashion)Hasa catFlewhere ona planeDoes alot ofoutreachPrefersto codein pythonHas beento theSouthernOceanIs anatmosphericscientistHas beento theAtlanticOceanHas beento aconcert inlast monthWorkswithcitizenscientistsFilters alot ofseawaterKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentClimberWorkswithlidarDoeslakescienceIshungryright nowPlays amusicalinstrument

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