Lives >2hoursdrive tothe oceanHasinteractedwith a CTD-Rosetteknows 3TaylorSwiftsongsHas doneairbornescienceFilters alot ofseawaterIs anatmosphericscientistDrove acar >1hour toget hereDoeslakescienceScubadivesLovesrainbowunicornsStarwarsfanHas workedin a cleanlab (on landor on a ship)LovesaerosolsWorkswithcitizenscientistsWorkswithlidarWriteswikipediaarticlesPrefersto codein RHasa catHas beento theArcticOceanHas aGitHubHas useda weatherballoonPlays amusicalinstrumentIshungryright nowDogpersonFlewhere ona planeSpeaks>2languagesHas beento thePacificOceanHas beento theSouthernOceanHas used asun-photometerHas beenat sea for>1 weekKnows moreaboutpolarimetrythan owningthe sunglassesKnowswhat asundog isClimberHas aparrotHas beento theAtlanticOceanFliesdronesDoes adistancesportHas beenat sea for>1 weekKnows amagictrickPlays amusicalinstrumentDid fieldwork inthe lastyearDoes alot ofoutreachHasconsideredbecomingan astronautHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingModels(data orfashion)DoesNOT liketo teachbut has toPrefersto codein pythonFlew aninstrumenton ER-2Prefers tocode inMATLABBrewsbeerCan tell afield workdisasterstoryHas beento aconcert inlast monthDoesnot likepizzaMovedhousewithin thelast yearLives >2hoursdrive tothe oceanHasinteractedwith a CTD-Rosetteknows 3TaylorSwiftsongsHas doneairbornescienceFilters alot ofseawaterIs anatmosphericscientistDrove acar >1hour toget hereDoeslakescienceScubadivesLovesrainbowunicornsStarwarsfanHas workedin a cleanlab (on landor on a ship)LovesaerosolsWorkswithcitizenscientistsWorkswithlidarWriteswikipediaarticlesPrefersto codein RHasa catHas beento theArcticOceanHas aGitHubHas useda weatherballoonPlays amusicalinstrumentIshungryright nowDogpersonFlewhere ona planeSpeaks>2languagesHas beento thePacificOceanHas beento theSouthernOceanHas used asun-photometerHas beenat sea for>1 weekKnows moreaboutpolarimetrythan owningthe sunglassesKnowswhat asundog isClimberHas aparrotHas beento theAtlanticOceanFliesdronesDoes adistancesportHas beenat sea for>1 weekKnows amagictrickPlays amusicalinstrumentDid fieldwork inthe lastyearDoes alot ofoutreachHasconsideredbecomingan astronautHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingModels(data orfashion)DoesNOT liketo teachbut has toPrefersto codein pythonFlew aninstrumenton ER-2Prefers tocode inMATLABBrewsbeerCan tell afield workdisasterstoryHas beento aconcert inlast monthDoesnot likepizzaMovedhousewithin thelast year

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