we are 10minutesbehindschedule"I willcomeback tothat"You can'thear thespeakerwellmissingaxislabelWay toomuch texton a slideQuestionis just acommentsoundis tooloudunnecessarythank-youslideQuestion iscompletelymisinterpretedby thespeakerplots areway toosmallSpeakeris justfacing theslidesA 5-pointedstart isused in aslidereallybad fitscatterdata looksjust like ablobwe reachslide 20 ina 12" talkmissingslidenumbersI nearlyfellasleepMagneticfields getblamed for aweirdobservationAphonegoes offUnfamiliarjargonYourattentionsnaps backhearing "inconclusion"someoneis skepticalof machinelearningsomeonenear youdisagreesaudiblysomeonesays: "asyou know",but you don'tknow.we are 10minutesbehindschedule"I willcomeback tothat"You can'thear thespeakerwellmissingaxislabelWay toomuch texton a slideQuestionis just acommentsoundis tooloudunnecessarythank-youslideQuestion iscompletelymisinterpretedby thespeakerplots areway toosmallSpeakeris justfacing theslidesA 5-pointedstart isused in aslidereallybad fitscatterdata looksjust like ablobwe reachslide 20 ina 12" talkmissingslidenumbersI nearlyfellasleepMagneticfields getblamed for aweirdobservationAphonegoes offUnfamiliarjargonYourattentionsnaps backhearing "inconclusion"someoneis skepticalof machinelearningsomeonenear youdisagreesaudiblysomeonesays: "asyou know",but you don'tknow.

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