someoneis skepticalof machinelearningsoundis tooloudSpeakeris justfacing theslidesUnfamiliarjargonsomeonesays: "asyou know",but you don'tknow.Augeris betterthan TAI nearlyfellasleepAphonegoes offYourattentionsnaps backhearing "inconclusion"Magneticfields getblamed for aweirdobservationwe are 10minutesbehindscheduleWay toomuch texton a slidereallybad fitplots areway toosmallscatterdata looksjust like ablobsomeonenear youdisagreesaudiblymissingaxislabelYou can'thear thespeakerwellQuestionis just acommentunnecessarythank-youslidewe reachslide 20 ina 12" talkQuestion iscompletelymisinterpretedby thespeakermissingslidenumbers"I willcomeback tothat"someoneis skepticalof machinelearningsoundis tooloudSpeakeris justfacing theslidesUnfamiliarjargonsomeonesays: "asyou know",but you don'tknow.Augeris betterthan TAI nearlyfellasleepAphonegoes offYourattentionsnaps backhearing "inconclusion"Magneticfields getblamed for aweirdobservationwe are 10minutesbehindscheduleWay toomuch texton a slidereallybad fitplots areway toosmallscatterdata looksjust like ablobsomeonenear youdisagreesaudiblymissingaxislabelYou can'thear thespeakerwellQuestionis just acommentunnecessarythank-youslidewe reachslide 20 ina 12" talkQuestion iscompletelymisinterpretedby thespeakermissingslidenumbers"I willcomeback tothat"

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.


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