Prefersto codein pythonPlays amusicalinstrumentHas used asun-photometerDoes adistancesportIs anatmosphericscientistMovedhousewithin thelast yearDoeslakescienceWorkswithlidarDogpersonHas beenat sea for>1 weekLives >2hoursdrive tothe oceanHasa catStarwarsfanHasconsideredbecomingan astronautPlays amusicalinstrumentHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas useda weatherballoonKnows moreaboutpolarimetrythan owningthe sunglassesHas aGitHubPrefers tocode inMATLABKnows amagictrickHas beento theArcticOceanModelsSpeaks>2languagesHas beento thePacificOceanDid fieldwork inthe lastyearWriteswikipediaarticlesClimberFliesdronesFilters alot ofseawaterHasinteractedwith a CTD-RosetteHasa dogPrefersto codein RWorkswithradarFREE!Has beento aconcert inlast monthHas beento theAtlanticOceanCan tell afield workdisasterstoryDoes alot ofoutreachHas workedin a cleanlab (on landor on a ship)Has beento theSouthernOceanDoesNOT liketo teachbut has toHas doneairbornescienceScubadivesKnowswhat asundog isLovesaerosolsFlewhere ona planeIshungryright nowHas beenat sea for>1 weekFilters alot ofseawaterDoesnot likepizzaDrove acar >1hour toget hereWorkswithcitizenscientistsPrefersto codein pythonPlays amusicalinstrumentHas used asun-photometerDoes adistancesportIs anatmosphericscientistMovedhousewithin thelast yearDoeslakescienceWorkswithlidarDogpersonHas beenat sea for>1 weekLives >2hoursdrive tothe oceanHasa catStarwarsfanHasconsideredbecomingan astronautPlays amusicalinstrumentHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas useda weatherballoonKnows moreaboutpolarimetrythan owningthe sunglassesHas aGitHubPrefers tocode inMATLABKnows amagictrickHas beento theArcticOceanModelsSpeaks>2languagesHas beento thePacificOceanDid fieldwork inthe lastyearWriteswikipediaarticlesClimberFliesdronesFilters alot ofseawaterHasinteractedwith a CTD-RosetteHasa dogPrefersto codein RWorkswithradarFREE!Has beento aconcert inlast monthHas beento theAtlanticOceanCan tell afield workdisasterstoryDoes alot ofoutreachHas workedin a cleanlab (on landor on a ship)Has beento theSouthernOceanDoesNOT liketo teachbut has toHas doneairbornescienceScubadivesKnowswhat asundog isLovesaerosolsFlewhere ona planeIshungryright nowHas beenat sea for>1 weekFilters alot ofseawaterDoesnot likepizzaDrove acar >1hour toget hereWorkswithcitizenscientists

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