Likesto knitHas beento thePacificOceanFlewhere ona planeScubadivesHas workedin a cleanlab (on landor on a ship)Has aGitHubDid fieldwork inthe lastyearLoves topaddleboardHasa catKnows amagictrickDogpersonIs hungryright nowLoves toplayboardgamesPrefersto codein pythonHas beenat sea for>1 weekWorkswithlidarPrefersto codein RDoes alot ofoutreachModelsWent to or isgoing to awedding thissummerHas beento aconcert inlast monthHasconsideredbecoming anastronautStarwarsfanLives >2hoursdrive tothe oceanHas neverbeen toMainebefore thisCan tell afield workdisasterstoryHas meta famouspersonPlays amusicalinstrumentKnows howto properlyeat a lobsterClimberHas beento theAtlanticOceanStudiedLatin orGreekDoeslakescienceKnows moreaboutpolarimetrythan owning thesunglassesSpeaks>2languagesHas doneairbornescienceHas beento theSouthernOceanPrefers tocode inMATLABFilters alot ofseawaterWorkswithcitizenscientistsHas beento theArcticOceanDoesnot likepizzaWantstoteachHasconsideredbecoming anastronautHas useda secchidiskStartrek fanLikesto knitHas beento thePacificOceanFlewhere ona planeScubadivesHas workedin a cleanlab (on landor on a ship)Has aGitHubDid fieldwork inthe lastyearLoves topaddleboardHasa catKnows amagictrickDogpersonIs hungryright nowLoves toplayboardgamesPrefersto codein pythonHas beenat sea for>1 weekWorkswithlidarPrefersto codein RDoes alot ofoutreachModelsWent to or isgoing to awedding thissummerHas beento aconcert inlast monthHasconsideredbecoming anastronautStarwarsfanLives >2hoursdrive tothe oceanHas neverbeen toMainebefore thisCan tell afield workdisasterstoryHas meta famouspersonPlays amusicalinstrumentKnows howto properlyeat a lobsterClimberHas beento theAtlanticOceanStudiedLatin orGreekDoeslakescienceKnows moreaboutpolarimetrythan owning thesunglassesSpeaks>2languagesHas doneairbornescienceHas beento theSouthernOceanPrefers tocode inMATLABFilters alot ofseawaterWorkswithcitizenscientistsHas beento theArcticOceanDoesnot likepizzaWantstoteachHasconsideredbecoming anastronautHas useda secchidiskStartrek fan

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