Has aGitHubPrefers tocode inMATLABHasa dogSpeaks>2languagesKnowswhat asundog isIshungryright nowHas beenat sea for>1 weekHas beenat sea for>1 weekHasa catHas beento theAtlanticOceanFliesdronesHas useda weatherballoonKnows moreaboutpolarimetrythan owningthe sunglassesModels(data orfashion)DoesNOT liketo teachbut has toHasconsideredbecomingan astronautPlays amusicalinstrumentknows 3TaylorSwiftsongsHas beento theSouthernOceanHas used asun-photometerHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthWorkswithlidarFilters alot ofseawaterFlewhere ona planePlays amusicalinstrumentHas workedin a cleanlab (on landor on a ship)Doesnot likepizzaDoeslakescienceIs anatmosphericscientistKnowswhat asundog isMovedhousewithin thelast yearLives >2hoursdrive tothe oceanLovesaerosolsClimberStarwarsfanPrefersto codein pythonDrove acar >1hour toget hereWorkswithradarKnows amagictrickHas beento theArcticOceanHas doneairbornescienceDoes alot ofoutreachWorkswithcitizenscientistsWriteswikipediaarticlesDid fieldwork inthe lastyearHasinteractedwith a CTD-RosetteDogpersonDoes adistancesportCan tell afield workdisasterstoryPrefersto codein RHas beento thePacificOceanScubadivesHas aGitHubPrefers tocode inMATLABHasa dogSpeaks>2languagesKnowswhat asundog isIshungryright nowHas beenat sea for>1 weekHas beenat sea for>1 weekHasa catHas beento theAtlanticOceanFliesdronesHas useda weatherballoonKnows moreaboutpolarimetrythan owningthe sunglassesModels(data orfashion)DoesNOT liketo teachbut has toHasconsideredbecomingan astronautPlays amusicalinstrumentknows 3TaylorSwiftsongsHas beento theSouthernOceanHas used asun-photometerHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthWorkswithlidarFilters alot ofseawaterFlewhere ona planePlays amusicalinstrumentHas workedin a cleanlab (on landor on a ship)Doesnot likepizzaDoeslakescienceIs anatmosphericscientistKnowswhat asundog isMovedhousewithin thelast yearLives >2hoursdrive tothe oceanLovesaerosolsClimberStarwarsfanPrefersto codein pythonDrove acar >1hour toget hereWorkswithradarKnows amagictrickHas beento theArcticOceanHas doneairbornescienceDoes alot ofoutreachWorkswithcitizenscientistsWriteswikipediaarticlesDid fieldwork inthe lastyearHasinteractedwith a CTD-RosetteDogpersonDoes adistancesportCan tell afield workdisasterstoryPrefersto codein RHas beento thePacificOceanScubadives

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