DoeslakescienceHasa catDrove acar >1hour toget hereBrewsbeerHas beenat sea for>1 weekHas beento thePacificOceanLovesaerosolsStarwarsfanPlays amusicalinstrumentDoes adistancesportPrefersto codein RIshungryright nowWorkswithcitizenscientistsPrefersto codein pythonFlewhere ona planeHas aparrotClimberPrefers tocode inMATLABHasconsideredbecomingan astronautFlew aninstrumenton ER-2ScubadivesIs anatmosphericscientistCan tell afield workdisasterstoryknows 3TaylorSwiftsongsDoesNOT liketo teachbut has toHas beenat sea for>1 weekMovedhousewithin thelast yearDid fieldwork inthe lastyearKnows amagictrickHas doneairbornescienceDoesnot likepizzaSpeaks>2languagesHas aGitHubKnowswhat asundog isWriteswikipediaarticlesHas beento theSouthernOceanHas workedin a cleanlab (on landor on a ship)Does alot ofoutreachKnows moreaboutpolarimetrythan owningthe sunglassesHas beento theArcticOceanHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingLives >2hoursdrive tothe oceanFliesdronesHas beento theAtlanticOceanHas beento aconcert inlast monthLovesrainbowunicornsHas useda weatherballoonPlays amusicalinstrumentDogpersonHas used asun-photometerFilters alot ofseawaterHasinteractedwith a CTD-RosetteModels(data orfashion)WorkswithlidarDoeslakescienceHasa catDrove acar >1hour toget hereBrewsbeerHas beenat sea for>1 weekHas beento thePacificOceanLovesaerosolsStarwarsfanPlays amusicalinstrumentDoes adistancesportPrefersto codein RIshungryright nowWorkswithcitizenscientistsPrefersto codein pythonFlewhere ona planeHas aparrotClimberPrefers tocode inMATLABHasconsideredbecomingan astronautFlew aninstrumenton ER-2ScubadivesIs anatmosphericscientistCan tell afield workdisasterstoryknows 3TaylorSwiftsongsDoesNOT liketo teachbut has toHas beenat sea for>1 weekMovedhousewithin thelast yearDid fieldwork inthe lastyearKnows amagictrickHas doneairbornescienceDoesnot likepizzaSpeaks>2languagesHas aGitHubKnowswhat asundog isWriteswikipediaarticlesHas beento theSouthernOceanHas workedin a cleanlab (on landor on a ship)Does alot ofoutreachKnows moreaboutpolarimetrythan owningthe sunglassesHas beento theArcticOceanHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingLives >2hoursdrive tothe oceanFliesdronesHas beento theAtlanticOceanHas beento aconcert inlast monthLovesrainbowunicornsHas useda weatherballoonPlays amusicalinstrumentDogpersonHas used asun-photometerFilters alot ofseawaterHasinteractedwith a CTD-RosetteModels(data orfashion)Workswithlidar

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