I nearlyfellasleepmissingslidenumbersYourattentionsnaps backhearing "inconclusion"we are 10minutesbehindscheduleAphonegoes offSpeakeris justfacing theslidesUnfamiliarjargonsoundis tooloudQuestion iscompletelymisinterpretedby thespeakerplots areway toosmallscatterdata looksjust like ablobQuestionis just acommentsomeonesays: "asyou know",but you don'tknow.Magneticfields getblamed for aweirdobservationreallybad fitwe reachslide 20 ina 12" talk"I willcomeback tothat"Way toomuch texton a slideYou can'thear thespeakerwellmissingaxislabelunnecessarythank-youslidesomeoneis skepticalof machinelearningsomeonenear youdisagreesaudiblyA 5-pointedstart isused in aslideI nearlyfellasleepmissingslidenumbersYourattentionsnaps backhearing "inconclusion"we are 10minutesbehindscheduleAphonegoes offSpeakeris justfacing theslidesUnfamiliarjargonsoundis tooloudQuestion iscompletelymisinterpretedby thespeakerplots areway toosmallscatterdata looksjust like ablobQuestionis just acommentsomeonesays: "asyou know",but you don'tknow.Magneticfields getblamed for aweirdobservationreallybad fitwe reachslide 20 ina 12" talk"I willcomeback tothat"Way toomuch texton a slideYou can'thear thespeakerwellmissingaxislabelunnecessarythank-youslidesomeoneis skepticalof machinelearningsomeonenear youdisagreesaudiblyA 5-pointedstart isused in aslide

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
  1. I nearly fell asleep
  2. missing slide numbers
  3. Your attention snaps back hearing "in conclusion"
  4. we are 10 minutes behind schedule
  5. A phone goes off
  6. Speaker is just facing the slides
  7. Unfamiliar jargon
  8. sound is too loud
  9. Question is completely misinterpreted by the speaker
  10. plots are way too small
  11. scatter data looks just like a blob
  12. Question is just a comment
  13. someone says: "as you know", but you don't know.
  14. Magnetic fields get blamed for a weird observation
  15. really bad fit
  16. we reach slide 20 in a 12" talk
  17. "I will come back to that"
  18. Way too much text on a slide
  19. You can't hear the speaker well
  20. missing axis label
  21. unnecessary thank-you slide
  22. someone is skeptical of machine learning
  23. someone near you disagrees audibly
  24. A 5-pointed start is used in a slide