Is anatmosphericscientistHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingIshungryright nowHasa catPlays amusicalinstrumentFilters alot ofseawaterDrove acar >1hour toget hereFlewhere ona planePrefersto codein pythonKnowswhat asundog isPlays amusicalinstrumentDoeslakescienceHas beento theArcticOceanHas beento theSouthernOceanWorkswithlidarFREE!Prefersto codein RDogpersonClimberDoesnot likepizzaScubadivesKnows moreaboutpolarimetrythan owningthe sunglassesHas beenat sea for>1 weekHasinteractedwith a CTD-RosetteHas aGitHubHas doneairbornescienceHasa dogLives >2hoursdrive tothe oceanWorkswithcitizenscientistsWriteswikipediaarticlesCan tell afield workdisasterstoryHas beenat sea for>1 weekDoesNOT liketo teachbut has toHas beento thePacificOceanWorkswithradarModelsHas beento theAtlanticOceanStarwarsfanHas used asun-photometerPrefers tocode inMATLABMovedhousewithin thelast yearDoes adistancesportHas workedin a cleanlab (on landor on a ship)Did fieldwork inthe lastyearLovesaerosolsSpeaks>2languagesHas beento aconcert inlast monthHasconsideredbecomingan astronautDoes alot ofoutreachFliesdronesHas useda weatherballoonKnows amagictrickFilters alot ofseawaterIs anatmosphericscientistHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingIshungryright nowHasa catPlays amusicalinstrumentFilters alot ofseawaterDrove acar >1hour toget hereFlewhere ona planePrefersto codein pythonKnowswhat asundog isPlays amusicalinstrumentDoeslakescienceHas beento theArcticOceanHas beento theSouthernOceanWorkswithlidarFREE!Prefersto codein RDogpersonClimberDoesnot likepizzaScubadivesKnows moreaboutpolarimetrythan owningthe sunglassesHas beenat sea for>1 weekHasinteractedwith a CTD-RosetteHas aGitHubHas doneairbornescienceHasa dogLives >2hoursdrive tothe oceanWorkswithcitizenscientistsWriteswikipediaarticlesCan tell afield workdisasterstoryHas beenat sea for>1 weekDoesNOT liketo teachbut has toHas beento thePacificOceanWorkswithradarModelsHas beento theAtlanticOceanStarwarsfanHas used asun-photometerPrefers tocode inMATLABMovedhousewithin thelast yearDoes adistancesportHas workedin a cleanlab (on landor on a ship)Did fieldwork inthe lastyearLovesaerosolsSpeaks>2languagesHas beento aconcert inlast monthHasconsideredbecomingan astronautDoes alot ofoutreachFliesdronesHas useda weatherballoonKnows amagictrickFilters alot ofseawater

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