Ishungryright nowPrefersto codein pythonHas workedin a cleanlab (on landor on a ship)knows 3TaylorSwiftsongsHas used asun-photometerDoesnot likepizzaModels(data orfashion)Has aGitHubPlays amusicalinstrumentClimberLives >2hoursdrive tothe oceanHas beento theSouthernOceanWriteswikipediaarticlesHas useda weatherballoonHas beento thePacificOceanStarwarsfanCan tell afield workdisasterstoryLovesaerosolsFliesdronesSpeaks>2languagesHas beenat sea for>1 weekDoesNOT liketo teachbut has toWorkswithlidarIs anatmosphericscientistWorkswithradarHasconsideredbecomingan astronautKnows amagictrickFlewhere ona planePrefersto codein RHasa catHasa dogPlays amusicalinstrumentPrefers tocode inMATLABDoes adistancesportFilters alot ofseawaterKnowswhat asundog isKnows moreaboutpolarimetrythan owningthe sunglassesMovedhousewithin thelast yearScubadivesDoes alot ofoutreachDogpersonHas beento theAtlanticOceanWorkswithcitizenscientistsHasinteractedwith a CTD-RosetteFilters alot ofseawaterDrove acar >1hour toget hereHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthHas beenat sea for>1 weekHas beento theArcticOceanDid fieldwork inthe lastyearDoeslakescienceHas doneairbornescienceIshungryright nowPrefersto codein pythonHas workedin a cleanlab (on landor on a ship)knows 3TaylorSwiftsongsHas used asun-photometerDoesnot likepizzaModels(data orfashion)Has aGitHubPlays amusicalinstrumentClimberLives >2hoursdrive tothe oceanHas beento theSouthernOceanWriteswikipediaarticlesHas useda weatherballoonHas beento thePacificOceanStarwarsfanCan tell afield workdisasterstoryLovesaerosolsFliesdronesSpeaks>2languagesHas beenat sea for>1 weekDoesNOT liketo teachbut has toWorkswithlidarIs anatmosphericscientistWorkswithradarHasconsideredbecomingan astronautKnows amagictrickFlewhere ona planePrefersto codein RHasa catHasa dogPlays amusicalinstrumentPrefers tocode inMATLABDoes adistancesportFilters alot ofseawaterKnowswhat asundog isKnows moreaboutpolarimetrythan owningthe sunglassesMovedhousewithin thelast yearScubadivesDoes alot ofoutreachDogpersonHas beento theAtlanticOceanWorkswithcitizenscientistsHasinteractedwith a CTD-RosetteFilters alot ofseawaterDrove acar >1hour toget hereHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento aconcert inlast monthHas beenat sea for>1 weekHas beento theArcticOceanDid fieldwork inthe lastyearDoeslakescienceHas doneairbornescience

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