Has aGitHubDogpersonDoes alot ofoutreachDoesnot likepizzaHas beento theArcticOceanHas beento theSouthernOceanWriteswikipediaarticlesHas beento theAtlanticOceanClimberKnows amagictrickHas beenat sea for>1 weekWorkswithradarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerKnowswhat asundog isKnows moreaboutpolarimetrythan owningthe sunglassesFREE!WorkswithlidarSpeaks>2languagesDoes adistancesportHas beento thePacificOceanFliesdronesHas workedin a cleanlab (on landor on a ship)Hasa dogDrove acar >1hour toget hereModelsFilters alot ofseawaterWorkswithcitizenscientistsScubadivesLovesaerosolsDoesNOT liketo teachbut has toHas beenat sea for>1 weekHasconsideredbecomingan astronautMovedhousewithin thelast yearHasinteractedwith a CTD-RosettePrefersto codein pythonCan tell afield workdisasterstoryPlays amusicalinstrumentPrefersto codein RPrefers tocode inMATLABFlewhere ona planeDoeslakesciencePlays amusicalinstrumentFilters alot ofseawaterHas beento aconcert inlast monthStarwarsfanLives >2hoursdrive tothe oceanIs anatmosphericscientistHas useda weatherballoonHas doneairbornescienceHasa catDid fieldwork inthe lastyearIshungryright nowHas aGitHubDogpersonDoes alot ofoutreachDoesnot likepizzaHas beento theArcticOceanHas beento theSouthernOceanWriteswikipediaarticlesHas beento theAtlanticOceanClimberKnows amagictrickHas beenat sea for>1 weekWorkswithradarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerKnowswhat asundog isKnows moreaboutpolarimetrythan owningthe sunglassesFREE!WorkswithlidarSpeaks>2languagesDoes adistancesportHas beento thePacificOceanFliesdronesHas workedin a cleanlab (on landor on a ship)Hasa dogDrove acar >1hour toget hereModelsFilters alot ofseawaterWorkswithcitizenscientistsScubadivesLovesaerosolsDoesNOT liketo teachbut has toHas beenat sea for>1 weekHasconsideredbecomingan astronautMovedhousewithin thelast yearHasinteractedwith a CTD-RosettePrefersto codein pythonCan tell afield workdisasterstoryPlays amusicalinstrumentPrefersto codein RPrefers tocode inMATLABFlewhere ona planeDoeslakesciencePlays amusicalinstrumentFilters alot ofseawaterHas beento aconcert inlast monthStarwarsfanLives >2hoursdrive tothe oceanIs anatmosphericscientistHas useda weatherballoonHas doneairbornescienceHasa catDid fieldwork inthe lastyearIshungryright now

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