Flewhere ona planeHas beento thePacificOceanHas used asun-photometerWent to or isgoing to awedding thissummerCan tell afield workdisasterstoryHasconsideredbecoming anastronautWorkswithlidarHas beento theAtlanticOceanPrefers tocode inMATLABHas workedin a cleanlab (on landor on a ship)Does alot ofoutreachKnows howto properlyeat a lobsterHas beento aconcert inlast monthSpeaks>2languagesDoesNOT wantto teachHas beento theIndianOceanStartrek fanDogpersonHas beento theSouthernOceanLoves topaddleboardDid fieldwork inthe lastyearHasinteractedwith a CTD-RosetteHas neverbeen toMainebefore thisStarwarsfanPlays amusicalinstrumentHas beenat sea for>1 weekHasa catFilters alot ofseawaterClimberLoves toplayboardgamesLikesto knitKnows moreaboutpolarimetrythan owning thesunglassesMovedhousewithin thelast yearHas beento theArcticOceanPrefersto codein RDoeslakescienceLives >2hoursdrive tothe oceanWantstoteachStudiedLatin orGreekModelsDoes adistancesportPrefersto codein pythonHas aGitHubHas useda secchidiskFliesdronesDrove acar >1hour toget hereHas doneairbornescienceWorkswithcitizenscientistsScubadivesFlewhere ona planeHas beento thePacificOceanHas used asun-photometerWent to or isgoing to awedding thissummerCan tell afield workdisasterstoryHasconsideredbecoming anastronautWorkswithlidarHas beento theAtlanticOceanPrefers tocode inMATLABHas workedin a cleanlab (on landor on a ship)Does alot ofoutreachKnows howto properlyeat a lobsterHas beento aconcert inlast monthSpeaks>2languagesDoesNOT wantto teachHas beento theIndianOceanStartrek fanDogpersonHas beento theSouthernOceanLoves topaddleboardDid fieldwork inthe lastyearHasinteractedwith a CTD-RosetteHas neverbeen toMainebefore thisStarwarsfanPlays amusicalinstrumentHas beenat sea for>1 weekHasa catFilters alot ofseawaterClimberLoves toplayboardgamesLikesto knitKnows moreaboutpolarimetrythan owning thesunglassesMovedhousewithin thelast yearHas beento theArcticOceanPrefersto codein RDoeslakescienceLives >2hoursdrive tothe oceanWantstoteachStudiedLatin orGreekModelsDoes adistancesportPrefersto codein pythonHas aGitHubHas useda secchidiskFliesdronesDrove acar >1hour toget hereHas doneairbornescienceWorkswithcitizenscientistsScubadives

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. Flew here on a plane
  2. Has been to the Pacific Ocean
  3. Has used a sun-photometer
  4. Went to or is going to a wedding this summer
  5. Can tell a field work disaster story
  6. Has considered becoming an astronaut
  7. Works with lidar
  8. Has been to the Atlantic Ocean
  9. Prefers to code in MATLAB
  10. Has worked in a clean lab (on land or on a ship)
  11. Does a lot of outreach
  12. Knows how to properly eat a lobster
  13. Has been to a concert in last month
  14. Speaks >2 languages
  15. Does NOT want to teach
  16. Has been to the Indian Ocean
  17. Star trek fan
  18. Dog person
  19. Has been to the Southern Ocean
  20. Loves to paddleboard
  21. Did field work in the last year
  22. Has interacted with a CTD-Rosette
  23. Has never been to Maine before this
  24. Star wars fan
  25. Plays a musical instrument
  26. Has been at sea for >1 week
  27. Has a cat
  28. Filters a lot of seawater
  29. Climber
  30. Loves to play board games
  31. Likes to knit
  32. Knows more about polarimetry than owning the sunglasses
  33. Moved house within the last year
  34. Has been to the Arctic Ocean
  35. Prefers to code in R
  36. Does lake science
  37. Lives >2 hours drive to the ocean
  38. Wants to teach
  39. Studied Latin or Greek
  40. Models
  41. Does a distance sport
  42. Prefers to code in python
  43. Has a GitHub
  44. Has used a secchi disk
  45. Flies drones
  46. Drove a car >1 hour to get here
  47. Has done airborne science
  48. Works with citizen scientists
  49. Scuba dives