Has beento thePacificOceanknows 3TaylorSwiftsongsIs anatmosphericscientistDid fieldwork inthe lastyearIshungryright nowHas beento theArcticOceanHas beenat sea for>1 weekModels(data orfashion)Movedhousewithin thelast yearHasa catPrefersto codein RLives >2hoursdrive tothe oceanDrove acar >1hour toget hereDoeslakescienceHas doneairbornescienceFilters alot ofseawaterCan tell afield workdisasterstoryHas beento theAtlanticOceanScubadivesDoesNOT liketo teachbut has toHas workedin a cleanlab (on landor on a ship)Hasinteractedwith a CTD-RosetteHas beento aconcert inlast monthStarwarsfanLovesaerosolsPlays amusicalinstrumentDoesnot likepizzaPlays amusicalinstrumentWorkswithlidarDogpersonHasa dogHasconsideredbecomingan astronautClimberWriteswikipediaarticlesFliesdronesSpeaks>2languagesKnows amagictrickFlewhere ona planeHas aGitHubDoes alot ofoutreachHas used asun-photometerKnowswhat asundog isHas beenat sea for>1 weekKnows moreaboutpolarimetrythan owningthe sunglassesPrefersto codein pythonPrefers tocode inMATLABFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingWorkswithcitizenscientistsDoes adistancesportHas beento theSouthernOceanHas useda weatherballoonWorkswithradarHas beento thePacificOceanknows 3TaylorSwiftsongsIs anatmosphericscientistDid fieldwork inthe lastyearIshungryright nowHas beento theArcticOceanHas beenat sea for>1 weekModels(data orfashion)Movedhousewithin thelast yearHasa catPrefersto codein RLives >2hoursdrive tothe oceanDrove acar >1hour toget hereDoeslakescienceHas doneairbornescienceFilters alot ofseawaterCan tell afield workdisasterstoryHas beento theAtlanticOceanScubadivesDoesNOT liketo teachbut has toHas workedin a cleanlab (on landor on a ship)Hasinteractedwith a CTD-RosetteHas beento aconcert inlast monthStarwarsfanLovesaerosolsPlays amusicalinstrumentDoesnot likepizzaPlays amusicalinstrumentWorkswithlidarDogpersonHasa dogHasconsideredbecomingan astronautClimberWriteswikipediaarticlesFliesdronesSpeaks>2languagesKnows amagictrickFlewhere ona planeHas aGitHubDoes alot ofoutreachHas used asun-photometerKnowswhat asundog isHas beenat sea for>1 weekKnows moreaboutpolarimetrythan owningthe sunglassesPrefersto codein pythonPrefers tocode inMATLABFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingWorkswithcitizenscientistsDoes adistancesportHas beento theSouthernOceanHas useda weatherballoonWorkswithradar

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