DoeslakesciencePrefersto codein RKnowswhat asundog isCan tell afield workdisasterstoryHas beenat sea for>1 weekBrewsbeerMovedhousewithin thelast yearDrove acar >1hour toget hereFliesdronesHas doneairbornescienceKnows amagictrickScubadivesClimberSpeaks>2languagesHas useda weatherballoonWriteswikipediaarticlesKnows moreaboutpolarimetrythan owningthe sunglassesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthHas beento theArcticOceanModels(data orfashion)Has aparrotHas aGitHubPlays amusicalinstrumentDoesnot likepizzaHas used asun-photometerLovesrainbowunicornsDoes adistancesportHasa catWorkswithlidarknows 3TaylorSwiftsongsPrefers tocode inMATLABIs anatmosphericscientistHasconsideredbecomingan astronautHas workedin a cleanlab (on landor on a ship)Has beenat sea for>1 weekLives >2hoursdrive tothe oceanWorkswithcitizenscientistsPrefersto codein pythonFlewhere ona planeHas beento theSouthernOceanDoesNOT liketo teachbut has toFlew aninstrumenton ER-2Did fieldwork inthe lastyearStarwarsfanDogpersonIshungryright nowHas beento thePacificOceanLovesaerosolsHasinteractedwith a CTD-RosetteFilters alot ofseawaterDoes alot ofoutreachPlays amusicalinstrumentHas beento theAtlanticOceanDoeslakesciencePrefersto codein RKnowswhat asundog isCan tell afield workdisasterstoryHas beenat sea for>1 weekBrewsbeerMovedhousewithin thelast yearDrove acar >1hour toget hereFliesdronesHas doneairbornescienceKnows amagictrickScubadivesClimberSpeaks>2languagesHas useda weatherballoonWriteswikipediaarticlesKnows moreaboutpolarimetrythan owningthe sunglassesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthHas beento theArcticOceanModels(data orfashion)Has aparrotHas aGitHubPlays amusicalinstrumentDoesnot likepizzaHas used asun-photometerLovesrainbowunicornsDoes adistancesportHasa catWorkswithlidarknows 3TaylorSwiftsongsPrefers tocode inMATLABIs anatmosphericscientistHasconsideredbecomingan astronautHas workedin a cleanlab (on landor on a ship)Has beenat sea for>1 weekLives >2hoursdrive tothe oceanWorkswithcitizenscientistsPrefersto codein pythonFlewhere ona planeHas beento theSouthernOceanDoesNOT liketo teachbut has toFlew aninstrumenton ER-2Did fieldwork inthe lastyearStarwarsfanDogpersonIshungryright nowHas beento thePacificOceanLovesaerosolsHasinteractedwith a CTD-RosetteFilters alot ofseawaterDoes alot ofoutreachPlays amusicalinstrumentHas beento theAtlanticOcean

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