Augeris betterthan TAmissingaxislabelSpeakeris justfacing theslidesMagneticfields getblamed for aweirdobservationQuestionis just acommentWay toomuch texton a slideUnfamiliarjargon"I willcomeback tothat"You can'thear thespeakerwellsomeonenear youdisagreesaudiblyAphonegoes offmissingslidenumberswe are 10minutesbehindscheduleYourattentionsnaps backhearing "inconclusion"someoneis skepticalof machinelearningreallybad fitsomeonesays: "asyou know",but you don'tknow.Question iscompletelymisinterpretedby thespeakerI nearlyfellasleepwe reachslide 20 ina 12" talksoundis tooloudscatterdata looksjust like ablobplots areway toosmallunnecessarythank-youslideAugeris betterthan TAmissingaxislabelSpeakeris justfacing theslidesMagneticfields getblamed for aweirdobservationQuestionis just acommentWay toomuch texton a slideUnfamiliarjargon"I willcomeback tothat"You can'thear thespeakerwellsomeonenear youdisagreesaudiblyAphonegoes offmissingslidenumberswe are 10minutesbehindscheduleYourattentionsnaps backhearing "inconclusion"someoneis skepticalof machinelearningreallybad fitsomeonesays: "asyou know",but you don'tknow.Question iscompletelymisinterpretedby thespeakerI nearlyfellasleepwe reachslide 20 ina 12" talksoundis tooloudscatterdata looksjust like ablobplots areway toosmallunnecessarythank-youslide

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