Hasconsideredbecomingan astronautLovesaerosolsknows 3TaylorSwiftsongsHas beento aconcert inlast monthDoesnot likepizzaLovesrainbowunicornsDoesNOT liketo teachbut has toFlewhere ona planeHas beenat sea for>1 weekPrefers tocode inMATLABPlays amusicalinstrumentFliesdronesPrefersto codein pythonHas beento theArcticOceanModels(data orfashion)Can tell afield workdisasterstoryKnowswhat asundog isDoes adistancesportSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingScubadivesDogpersonWorkswithlidarClimberHas beento thePacificOceanMovedhousewithin thelast yearHas doneairbornescienceHas beento theSouthernOceanHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHas aGitHubDoeslakesciencePlays amusicalinstrumentPrefersto codein RKnows moreaboutpolarimetrythan owningthe sunglassesHasa catLives >2hoursdrive tothe oceanHas used asun-photometerIshungryright nowHas aparrotWriteswikipediaarticlesFlew aninstrumenton ER-2BrewsbeerHas beenat sea for>1 weekStarwarsfanDrove acar >1hour toget hereHas useda weatherballoonIs anatmosphericscientistHas beento theAtlanticOceanDid fieldwork inthe lastyearDoes alot ofoutreachFilters alot ofseawaterKnows amagictrickHas workedin a cleanlab (on landor on a ship)Hasconsideredbecomingan astronautLovesaerosolsknows 3TaylorSwiftsongsHas beento aconcert inlast monthDoesnot likepizzaLovesrainbowunicornsDoesNOT liketo teachbut has toFlewhere ona planeHas beenat sea for>1 weekPrefers tocode inMATLABPlays amusicalinstrumentFliesdronesPrefersto codein pythonHas beento theArcticOceanModels(data orfashion)Can tell afield workdisasterstoryKnowswhat asundog isDoes adistancesportSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingScubadivesDogpersonWorkswithlidarClimberHas beento thePacificOceanMovedhousewithin thelast yearHas doneairbornescienceHas beento theSouthernOceanHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHas aGitHubDoeslakesciencePlays amusicalinstrumentPrefersto codein RKnows moreaboutpolarimetrythan owningthe sunglassesHasa catLives >2hoursdrive tothe oceanHas used asun-photometerIshungryright nowHas aparrotWriteswikipediaarticlesFlew aninstrumenton ER-2BrewsbeerHas beenat sea for>1 weekStarwarsfanDrove acar >1hour toget hereHas useda weatherballoonIs anatmosphericscientistHas beento theAtlanticOceanDid fieldwork inthe lastyearDoes alot ofoutreachFilters alot ofseawaterKnows amagictrickHas workedin a cleanlab (on landor on a ship)

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