Magneticfields getblamed for aweirdobservationwe are 10minutesbehindschedulescatterdata looksjust like ablobunnecessarythank-youslideAugeris betterthan TAQuestionis just acommentAphonegoes offsomeonesays: "asyou know",but you don'tknow.Speakeris justfacing theslidesWay toomuch texton a slidesomeonenear youdisagreesaudiblyQuestion iscompletelymisinterpretedby thespeakersomeoneis skepticalof machinelearning"I willcomeback tothat"I nearlyfellasleepYou can'thear thespeakerwellmissingaxislabelmissingslidenumbersYourattentionsnaps backhearing "inconclusion"soundis tooloudreallybad fitUnfamiliarjargonplots areway toosmallwe reachslide 20 ina 12" talkMagneticfields getblamed for aweirdobservationwe are 10minutesbehindschedulescatterdata looksjust like ablobunnecessarythank-youslideAugeris betterthan TAQuestionis just acommentAphonegoes offsomeonesays: "asyou know",but you don'tknow.Speakeris justfacing theslidesWay toomuch texton a slidesomeonenear youdisagreesaudiblyQuestion iscompletelymisinterpretedby thespeakersomeoneis skepticalof machinelearning"I willcomeback tothat"I nearlyfellasleepYou can'thear thespeakerwellmissingaxislabelmissingslidenumbersYourattentionsnaps backhearing "inconclusion"soundis tooloudreallybad fitUnfamiliarjargonplots areway toosmallwe reachslide 20 ina 12" talk

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