we reachslide 20 ina 12" talkshoutout toa studentthat did theactual workWay toomuch texton a slideSpeakeris justfacing theslidesQuestionis just acommentmemeon theslideA 5-pointedstart isused in aslidemissingslidenumbersMagneticfields getblamed for aweirdobservationhypnotizinggifmissingaxislabelcontentclearlymade byAIsoundis tooloud"I willcomeback tothat"Question iscompletelymisinterpretedby thespeakerYou can'thear thespeakerwellAphonegoes offsomeoneis skepticalof machinelearningUnfamiliarjargonunnecessarythank-youslidewe are 10minutesbehindschedulefigureshown,neveraddressedreallybad fitsomeonesays: "asyou know",but you don'tknow.Videodoesn'tstartsomeonenear youdisagreesaudiblyscatterdata looksjust like ablob"Thismight bea naivequestion"plots areway toosmallYourattentionsnaps backhearing "inconclusion"we reachslide 20 ina 12" talkshoutout toa studentthat did theactual workWay toomuch texton a slideSpeakeris justfacing theslidesQuestionis just acommentmemeon theslideA 5-pointedstart isused in aslidemissingslidenumbersMagneticfields getblamed for aweirdobservationhypnotizinggifmissingaxislabelcontentclearlymade byAIsoundis tooloud"I willcomeback tothat"Question iscompletelymisinterpretedby thespeakerYou can'thear thespeakerwellAphonegoes offsomeoneis skepticalof machinelearningUnfamiliarjargonunnecessarythank-youslidewe are 10minutesbehindschedulefigureshown,neveraddressedreallybad fitsomeonesays: "asyou know",but you don'tknow.Videodoesn'tstartsomeonenear youdisagreesaudiblyscatterdata looksjust like ablob"Thismight bea naivequestion"plots areway toosmallYourattentionsnaps backhearing "inconclusion"

NAC 2025 - 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 reach slide 20 in a 12" talk
  2. shoutout to a student that did the actual work
  3. Way too much text on a slide
  4. Speaker is just facing the slides
  5. Question is just a comment
  6. meme on the slide
  7. A 5-pointed start is used in a slide
  8. missing slide numbers
  9. Magnetic fields get blamed for a weird observation
  10. hypnotizing gif
  11. missing axis label
  12. content clearly made by AI
  13. sound is too loud
  14. "I will come back to that"
  15. Question is completely misinterpreted by the speaker
  16. You can't hear the speaker well
  17. A phone goes off
  18. someone is skeptical of machine learning
  19. Unfamiliar jargon
  20. unnecessary thank-you slide
  21. we are 10 minutes behind schedule
  22. figure shown, never addressed
  23. really bad fit
  24. someone says: "as you know", but you don't know.
  25. Video doesn't start
  26. someone near you disagrees audibly
  27. scatter data looks just like a blob
  28. "This might be a naive question"
  29. plots are way too small
  30. Your attention snaps back hearing "in conclusion"