soundis tooloudunnecessarythank-youslideYourattentionsnaps backhearing "inconclusion""I willcomeback tothat"plots areway toosmallsomeonenear youdisagreesaudiblyQuestion iscompletelymisinterpretedby thespeakerwe are 10minutesbehindscheduleUnfamiliarjargonmissingslidenumbersAugeris betterthan TAscatterdata looksjust like ablobwe reachslide 20 ina 12" talkAphonegoes offsomeonesays: "asyou know",but you don'tknow.someoneis skepticalof machinelearningI nearlyfellasleepreallybad fitYou can'thear thespeakerwellQuestionis just acommentMagneticfields getblamed for aweirdobservationmissingaxislabelSpeakeris justfacing theslidesWay toomuch texton a slidesoundis tooloudunnecessarythank-youslideYourattentionsnaps backhearing "inconclusion""I willcomeback tothat"plots areway toosmallsomeonenear youdisagreesaudiblyQuestion iscompletelymisinterpretedby thespeakerwe are 10minutesbehindscheduleUnfamiliarjargonmissingslidenumbersAugeris betterthan TAscatterdata looksjust like ablobwe reachslide 20 ina 12" talkAphonegoes offsomeonesays: "asyou know",but you don'tknow.someoneis skepticalof machinelearningI nearlyfellasleepreallybad fitYou can'thear thespeakerwellQuestionis just acommentMagneticfields getblamed for aweirdobservationmissingaxislabelSpeakeris justfacing theslidesWay toomuch texton a slide

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