Hasa dogKnows amagictrickHas aGitHubIs anatmosphericscientistWorkswithradarCan tell afield workdisasterstoryHas beento aconcert inlast monthHasa catPrefersto codein pythonPlays amusicalinstrumentIshungryright nowFliesdronesHas beenat sea for>1 weekDid fieldwork inthe lastyearPrefers tocode inMATLABDrove acar >1hour toget hereLovesaerosolsHasconsideredbecomingan astronautMovedhousewithin thelast yearLives >2hoursdrive tothe oceanWriteswikipediaarticlesModels(data orfashion)Filters alot ofseawaterDoes adistancesportHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingScubadivesHas workedin a cleanlab (on landor on a ship)Speaks>2languagesStarwarsfanHas beento theSouthernOceanKnows moreaboutpolarimetrythan owningthe sunglassesHas doneairbornescienceHas useda weatherballoonPrefersto codein RHas beenat sea for>1 weekKnowswhat asundog isWorkswithcitizenscientistsHas beento theArcticOceanDoesnot likepizzaDogpersonknows 3TaylorSwiftsongsHasinteractedwith a CTD-RosetteHas used asun-photometerDoes alot ofoutreachKnowswhat asundog isDoeslakescienceClimberPlays amusicalinstrumentDoesNOT liketo teachbut has toFlewhere ona planeWorkswithlidarHas beento thePacificOceanHas beento theAtlanticOceanHasa dogKnows amagictrickHas aGitHubIs anatmosphericscientistWorkswithradarCan tell afield workdisasterstoryHas beento aconcert inlast monthHasa catPrefersto codein pythonPlays amusicalinstrumentIshungryright nowFliesdronesHas beenat sea for>1 weekDid fieldwork inthe lastyearPrefers tocode inMATLABDrove acar >1hour toget hereLovesaerosolsHasconsideredbecomingan astronautMovedhousewithin thelast yearLives >2hoursdrive tothe oceanWriteswikipediaarticlesModels(data orfashion)Filters alot ofseawaterDoes adistancesportHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingScubadivesHas workedin a cleanlab (on landor on a ship)Speaks>2languagesStarwarsfanHas beento theSouthernOceanKnows moreaboutpolarimetrythan owningthe sunglassesHas doneairbornescienceHas useda weatherballoonPrefersto codein RHas beenat sea for>1 weekKnowswhat asundog isWorkswithcitizenscientistsHas beento theArcticOceanDoesnot likepizzaDogpersonknows 3TaylorSwiftsongsHasinteractedwith a CTD-RosetteHas used asun-photometerDoes alot ofoutreachKnowswhat asundog isDoeslakescienceClimberPlays amusicalinstrumentDoesNOT liketo teachbut has toFlewhere ona planeWorkswithlidarHas beento thePacificOceanHas beento theAtlanticOcean

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