Prefersto codein RDoes alot ofoutreachModels(data orfashion)Has aGitHubStarwarsfanHasa catSpeaks>2languagesHas useda weatherballoonLovesaerosolsMovedhousewithin thelast yearHasinteractedwith a CTD-Rosetteknows 3TaylorSwiftsongsFlewhere ona planeDoesnot likepizzaDoes adistancesportHas beento theArcticOceanDid fieldwork inthe lastyearDoesNOT liketo teachbut has toHas beento theAtlanticOceanWriteswikipediaarticlesHas beenat sea for>1 weekDrove acar >1hour toget hereWorkswithlidarFliesdronesHas workedin a cleanlab (on landor on a ship)Hasconsideredbecomingan astronautPrefers tocode inMATLABScubadivesHas doneairbornescienceHas beento thePacificOceanHasa dogIs anatmosphericscientistClimberHas used asun-photometerIshungryright nowWorkswithcitizenscientistsDoeslakescienceFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPlays amusicalinstrumentPlays amusicalinstrumentCan tell afield workdisasterstoryLives >2hoursdrive tothe oceanDogpersonHas beenat sea for>1 weekKnows amagictrickWorkswithradarHas beento theSouthernOceanKnows moreaboutpolarimetrythan owningthe sunglassesHas beento aconcert inlast monthKnowswhat asundog isPrefersto codein pythonKnowswhat asundog isPrefersto codein RDoes alot ofoutreachModels(data orfashion)Has aGitHubStarwarsfanHasa catSpeaks>2languagesHas useda weatherballoonLovesaerosolsMovedhousewithin thelast yearHasinteractedwith a CTD-Rosetteknows 3TaylorSwiftsongsFlewhere ona planeDoesnot likepizzaDoes adistancesportHas beento theArcticOceanDid fieldwork inthe lastyearDoesNOT liketo teachbut has toHas beento theAtlanticOceanWriteswikipediaarticlesHas beenat sea for>1 weekDrove acar >1hour toget hereWorkswithlidarFliesdronesHas workedin a cleanlab (on landor on a ship)Hasconsideredbecomingan astronautPrefers tocode inMATLABScubadivesHas doneairbornescienceHas beento thePacificOceanHasa dogIs anatmosphericscientistClimberHas used asun-photometerIshungryright nowWorkswithcitizenscientistsDoeslakescienceFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPlays amusicalinstrumentPlays amusicalinstrumentCan tell afield workdisasterstoryLives >2hoursdrive tothe oceanDogpersonHas beenat sea for>1 weekKnows amagictrickWorkswithradarHas beento theSouthernOceanKnows moreaboutpolarimetrythan owningthe sunglassesHas beento aconcert inlast monthKnowswhat asundog isPrefersto codein pythonKnowswhat asundog is

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