Knowswhat asundog isSpeaks>2languagesScubadivesFilters alot ofseawaterHas beenat sea for>1 weekHas beenat sea for>1 weekStarwarsfanPrefersto codein RHas beento theSouthernOceanCan tell afield workdisasterstoryIs anatmosphericscientistknows 3TaylorSwiftsongsHasa dogDogpersonWorkswithcitizenscientistsMovedhousewithin thelast yearDoes adistancesportDoesnot likepizzaHas beento theArcticOceanHas workedin a cleanlab (on landor on a ship)Plays amusicalinstrumentHas beento aconcert inlast monthDid fieldwork inthe lastyearWriteswikipediaarticlesFliesdronesHas aGitHubModels(data orfashion)Hasconsideredbecomingan astronautPlays amusicalinstrumentClimberWorkswithlidarPrefers tocode inMATLABDoeslakescienceWorkswithradarHas beento theAtlanticOceanDrove acar >1hour toget hereHas doneairbornesciencePrefersto codein pythonFlewhere ona planeHasa catDoes alot ofoutreachLives >2hoursdrive tothe oceanKnows moreaboutpolarimetrythan owningthe sunglassesDoesNOT liketo teachbut has toKnowswhat asundog isIshungryright nowHas useda weatherballoonHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosetteHas used asun-photometerLovesaerosolsHas beento thePacificOceanKnows amagictrickKnowswhat asundog isSpeaks>2languagesScubadivesFilters alot ofseawaterHas beenat sea for>1 weekHas beenat sea for>1 weekStarwarsfanPrefersto codein RHas beento theSouthernOceanCan tell afield workdisasterstoryIs anatmosphericscientistknows 3TaylorSwiftsongsHasa dogDogpersonWorkswithcitizenscientistsMovedhousewithin thelast yearDoes adistancesportDoesnot likepizzaHas beento theArcticOceanHas workedin a cleanlab (on landor on a ship)Plays amusicalinstrumentHas beento aconcert inlast monthDid fieldwork inthe lastyearWriteswikipediaarticlesFliesdronesHas aGitHubModels(data orfashion)Hasconsideredbecomingan astronautPlays amusicalinstrumentClimberWorkswithlidarPrefers tocode inMATLABDoeslakescienceWorkswithradarHas beento theAtlanticOceanDrove acar >1hour toget hereHas doneairbornesciencePrefersto codein pythonFlewhere ona planeHasa catDoes alot ofoutreachLives >2hoursdrive tothe oceanKnows moreaboutpolarimetrythan owningthe sunglassesDoesNOT liketo teachbut has toKnowswhat asundog isIshungryright nowHas useda weatherballoonHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosetteHas used asun-photometerLovesaerosolsHas beento thePacificOceanKnows amagictrick

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