unnecessarythank-youslideQuestion iscompletelymisinterpretedby thespeakerQuestionis just acommentAphonegoes offYou can'thear thespeakerwell"I willcomeback tothat"we are 10minutesbehindschedulescatterdata looksjust like ablobreallybad fitI nearlyfellasleepMagneticfields getblamed for aweirdobservationSpeakeris justfacing theslidessomeoneis skepticalof machinelearningWay toomuch texton a slidewe reachslide 20 ina 12" talkAugeris betterthan TAmissingaxislabelplots areway toosmallmissingslidenumberssoundis tooloudUnfamiliarjargonsomeonesays: "asyou know",but you don'tknow.Yourattentionsnaps backhearing "inconclusion"someonenear youdisagreesaudiblyunnecessarythank-youslideQuestion iscompletelymisinterpretedby thespeakerQuestionis just acommentAphonegoes offYou can'thear thespeakerwell"I willcomeback tothat"we are 10minutesbehindschedulescatterdata looksjust like ablobreallybad fitI nearlyfellasleepMagneticfields getblamed for aweirdobservationSpeakeris justfacing theslidessomeoneis skepticalof machinelearningWay toomuch texton a slidewe reachslide 20 ina 12" talkAugeris betterthan TAmissingaxislabelplots areway toosmallmissingslidenumberssoundis tooloudUnfamiliarjargonsomeonesays: "asyou know",but you don'tknow.Yourattentionsnaps backhearing "inconclusion"someonenear youdisagreesaudibly

L'aquila - 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
  1. unnecessary thank-you slide
  2. Question is completely misinterpreted by the speaker
  3. Question is just a comment
  4. A phone goes off
  5. You can't hear the speaker well
  6. "I will come back to that"
  7. we are 10 minutes behind schedule
  8. scatter data looks just like a blob
  9. really bad fit
  10. I nearly fell asleep
  11. Magnetic fields get blamed for a weird observation
  12. Speaker is just facing the slides
  13. someone is skeptical of machine learning
  14. Way too much text on a slide
  15. we reach slide 20 in a 12" talk
  16. Auger is better than TA
  17. missing axis label
  18. plots are way too small
  19. missing slide numbers
  20. sound is too loud
  21. Unfamiliar jargon
  22. someone says: "as you know", but you don't know.
  23. Your attention snaps back hearing "in conclusion"
  24. someone near you disagrees audibly