Yourattentionsnaps backhearing "inconclusion"missingslidenumberswe are 10minutesbehindschedulemissingaxislabelwe reachslide 20 ina 12" talkQuestion iscompletelymisinterpretedby thespeakerscatterdata looksjust like ablobsomeonesays: "asyou know",but you don'tknow.Speakeris justfacing theslidesYou can'thear thespeakerwellWay toomuch texton a slideunnecessarythank-youslide"I willcomeback tothat"someoneis skepticalof machinelearningAugeris betterthan TAI nearlyfellasleepreallybad fitUnfamiliarjargonsoundis tooloudsomeonenear youdisagreesaudiblyplots areway toosmallMagneticfields getblamed for aweirdobservationQuestionis just acommentAphonegoes offYourattentionsnaps backhearing "inconclusion"missingslidenumberswe are 10minutesbehindschedulemissingaxislabelwe reachslide 20 ina 12" talkQuestion iscompletelymisinterpretedby thespeakerscatterdata looksjust like ablobsomeonesays: "asyou know",but you don'tknow.Speakeris justfacing theslidesYou can'thear thespeakerwellWay toomuch texton a slideunnecessarythank-youslide"I willcomeback tothat"someoneis skepticalof machinelearningAugeris betterthan TAI nearlyfellasleepreallybad fitUnfamiliarjargonsoundis tooloudsomeonenear youdisagreesaudiblyplots areway toosmallMagneticfields getblamed for aweirdobservationQuestionis just acommentAphonegoes off

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