Movedhousewithin thelast yearFlewhere ona planeHas beenat sea for>1 weekDoeslakescienceHas used asun-photometerIs anatmosphericscientistHas beento thePacificOceanKnows amagictrickHasconsideredbecomingan astronautScubadivesWorkswithcitizenscientistsLives >2hoursdrive tothe oceanHas beenat sea for>1 weekModelsHas useda weatherballoonHas beento theArcticOceanHasa dogDoesNOT liketo teachbut has toHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosettePrefersto codein RStarwarsfanDrove acar >1hour toget hereFilters alot ofseawaterDoes alot ofoutreachWriteswikipediaarticlesHas aGitHubPrefers tocode inMATLABClimberWorkswithradarHas beento aconcert inlast monthSpeaks>2languagesKnowswhat asundog isDoesnot likepizzaDid fieldwork inthe lastyearLovesaerosolsKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentDogpersonHas beento theSouthernOceanHas doneairbornescienceHasa catCan tell afield workdisasterstoryHas workedin a cleanlab (on landor on a ship)Prefersto codein pythonHas beento theAtlanticOceanFliesdronesDoes adistancesportFREE!Filters alot ofseawaterPlays amusicalinstrumentIshungryright nowWorkswithlidarMovedhousewithin thelast yearFlewhere ona planeHas beenat sea for>1 weekDoeslakescienceHas used asun-photometerIs anatmosphericscientistHas beento thePacificOceanKnows amagictrickHasconsideredbecomingan astronautScubadivesWorkswithcitizenscientistsLives >2hoursdrive tothe oceanHas beenat sea for>1 weekModelsHas useda weatherballoonHas beento theArcticOceanHasa dogDoesNOT liketo teachbut has toHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosettePrefersto codein RStarwarsfanDrove acar >1hour toget hereFilters alot ofseawaterDoes alot ofoutreachWriteswikipediaarticlesHas aGitHubPrefers tocode inMATLABClimberWorkswithradarHas beento aconcert inlast monthSpeaks>2languagesKnowswhat asundog isDoesnot likepizzaDid fieldwork inthe lastyearLovesaerosolsKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentDogpersonHas beento theSouthernOceanHas doneairbornescienceHasa catCan tell afield workdisasterstoryHas workedin a cleanlab (on landor on a ship)Prefersto codein pythonHas beento theAtlanticOceanFliesdronesDoes adistancesportFREE!Filters alot ofseawaterPlays amusicalinstrumentIshungryright nowWorkswithlidar

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