Flewhere ona planeLives >2hoursdrive tothe oceanLikesto knitStartrek fanDoesnot likepizzaClimberPlays amusicalinstrumentIs hungryright nowDoeslakescienceWorkswithlidarHas beento theSouthernOceanHas beenat sea for>1 weekWantstoteachSpeaks>2languagesHasconsideredbecoming anastronautHas neverbeen toMainebefore thisLoves topaddleboardKnows moreaboutpolarimetrythan owning thesunglassesWent to or isgoing to awedding thissummerHasa catHas beento thePacificOceanHas meta famouspersonHas aGitHubPrefersto codein pythonHas beento aconcert inlast monthCan tell afield workdisasterstoryHasconsideredbecoming anastronautScubadivesPrefers tocode inMATLABHas beento theAtlanticOceanStarwarsfanStudiedLatin orGreekHas useda secchidiskHas doneairbornescienceHas workedin a cleanlab (on landor on a ship)Prefersto codein RFilters alot ofseawaterWorkswithcitizenscientistsDid fieldwork inthe lastyearKnows amagictrickModelsKnows howto properlyeat a lobsterDogpersonDoes alot ofoutreachHas beento theArcticOceanLoves toplayboardgamesFlewhere ona planeLives >2hoursdrive tothe oceanLikesto knitStartrek fanDoesnot likepizzaClimberPlays amusicalinstrumentIs hungryright nowDoeslakescienceWorkswithlidarHas beento theSouthernOceanHas beenat sea for>1 weekWantstoteachSpeaks>2languagesHasconsideredbecoming anastronautHas neverbeen toMainebefore thisLoves topaddleboardKnows moreaboutpolarimetrythan owning thesunglassesWent to or isgoing to awedding thissummerHasa catHas beento thePacificOceanHas meta famouspersonHas aGitHubPrefersto codein pythonHas beento aconcert inlast monthCan tell afield workdisasterstoryHasconsideredbecoming anastronautScubadivesPrefers tocode inMATLABHas beento theAtlanticOceanStarwarsfanStudiedLatin orGreekHas useda secchidiskHas doneairbornescienceHas workedin a cleanlab (on landor on a ship)Prefersto codein RFilters alot ofseawaterWorkswithcitizenscientistsDid fieldwork inthe lastyearKnows amagictrickModelsKnows howto properlyeat a lobsterDogpersonDoes alot ofoutreachHas beento theArcticOceanLoves toplayboardgames

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