Has beento aconcert inlast monthKnowswhat asundog isPrefers tocode inMATLABWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPrefersto codein pythonHas beento theSouthernOceanHas beento theAtlanticOceanHasa catModels(data orfashion)Has beento theArcticOceanMovedhousewithin thelast yearStarwarsfanHasconsideredbecomingan astronautFliesdronesHas workedin a cleanlab (on landor on a ship)Drove acar >1hour toget hereKnows moreaboutpolarimetrythan owningthe sunglassesDoesnot likepizzaknows 3TaylorSwiftsongsScubadivesLovesaerosolsSpeaks>2languagesHasa dogHas beento thePacificOceanDid fieldwork inthe lastyearPrefersto codein RFlewhere ona planeCan tell afield workdisasterstoryWorkswithlidarHas doneairbornescienceHas useda weatherballoonHas aGitHubPlays amusicalinstrumentDoes adistancesportWorkswithcitizenscientistsHasinteractedwith a CTD-RosetteKnowswhat asundog isFilters alot ofseawaterLives >2hoursdrive tothe oceanIs anatmosphericscientistHas used asun-photometerWorkswithradarDoes alot ofoutreachIshungryright nowDogpersonClimberDoeslakescienceDoesNOT liketo teachbut has toKnows amagictrickPlays amusicalinstrumentHas beenat sea for>1 weekHas beenat sea for>1 weekHas beento aconcert inlast monthKnowswhat asundog isPrefers tocode inMATLABWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPrefersto codein pythonHas beento theSouthernOceanHas beento theAtlanticOceanHasa catModels(data orfashion)Has beento theArcticOceanMovedhousewithin thelast yearStarwarsfanHasconsideredbecomingan astronautFliesdronesHas workedin a cleanlab (on landor on a ship)Drove acar >1hour toget hereKnows moreaboutpolarimetrythan owningthe sunglassesDoesnot likepizzaknows 3TaylorSwiftsongsScubadivesLovesaerosolsSpeaks>2languagesHasa dogHas beento thePacificOceanDid fieldwork inthe lastyearPrefersto codein RFlewhere ona planeCan tell afield workdisasterstoryWorkswithlidarHas doneairbornescienceHas useda weatherballoonHas aGitHubPlays amusicalinstrumentDoes adistancesportWorkswithcitizenscientistsHasinteractedwith a CTD-RosetteKnowswhat asundog isFilters alot ofseawaterLives >2hoursdrive tothe oceanIs anatmosphericscientistHas used asun-photometerWorkswithradarDoes alot ofoutreachIshungryright nowDogpersonClimberDoeslakescienceDoesNOT liketo teachbut has toKnows amagictrickPlays amusicalinstrumentHas beenat sea for>1 weekHas beenat sea for>1 week

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.


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