Has workedin a cleanlab (on landor on a ship)Has beento theAtlanticOceanWorkswithlidarHasinteractedwith a CTD-RosetteHas beento thePacificOceanFlew aninstrumenton ER-2Plays amusicalinstrumentDrove acar >1hour toget hereSpeaks>2languagesDoes alot ofoutreachPrefers tocode inMATLABIshungryright nowClimberFlewhere ona planeWorkswithcitizenscientistsDogpersonHasconsideredbecomingan astronautDoesnot likepizzaHas beento aconcert inlast monthHasa catFilters alot ofseawaterHas beenat sea for>1 weekKnows amagictrickWriteswikipediaarticlesPlays amusicalinstrumentModels(data orfashion)Is anatmosphericscientistLives >2hoursdrive tothe oceanHas beento theArcticOceanDoesNOT liketo teachbut has toKnows moreaboutpolarimetrythan owningthe sunglassesFliesdronesDoes adistancesportHas beenat sea for>1 weekHas doneairbornescienceHas useda weatherballoonLovesrainbowunicornsKnowswhat asundog isHas aGitHubLovesaerosolsCan tell afield workdisasterstoryMovedhousewithin thelast yearHas aparrotPrefersto codein pythonScubadivesHas used asun-photometerDid fieldwork inthe lastyearDoeslakescienceStarwarsfanPrefersto codein Rknows 3TaylorSwiftsongsHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingBrewsbeerHas beento theSouthernOceanHas workedin a cleanlab (on landor on a ship)Has beento theAtlanticOceanWorkswithlidarHasinteractedwith a CTD-RosetteHas beento thePacificOceanFlew aninstrumenton ER-2Plays amusicalinstrumentDrove acar >1hour toget hereSpeaks>2languagesDoes alot ofoutreachPrefers tocode inMATLABIshungryright nowClimberFlewhere ona planeWorkswithcitizenscientistsDogpersonHasconsideredbecomingan astronautDoesnot likepizzaHas beento aconcert inlast monthHasa catFilters alot ofseawaterHas beenat sea for>1 weekKnows amagictrickWriteswikipediaarticlesPlays amusicalinstrumentModels(data orfashion)Is anatmosphericscientistLives >2hoursdrive tothe oceanHas beento theArcticOceanDoesNOT liketo teachbut has toKnows moreaboutpolarimetrythan owningthe sunglassesFliesdronesDoes adistancesportHas beenat sea for>1 weekHas doneairbornescienceHas useda weatherballoonLovesrainbowunicornsKnowswhat asundog isHas aGitHubLovesaerosolsCan tell afield workdisasterstoryMovedhousewithin thelast yearHas aparrotPrefersto codein pythonScubadivesHas used asun-photometerDid fieldwork inthe lastyearDoeslakescienceStarwarsfanPrefersto codein Rknows 3TaylorSwiftsongsHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingBrewsbeerHas beento theSouthernOcean

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