unnecessarythank-youslideQuestionis just acommentSpeakeris justfacing theslidesAphonegoes offsomeonesays: "asyou know",but you don'tknow.Magneticfields getblamed for aweirdobservationWay toomuch texton a slide"I willcomeback tothat"missingslidenumbersQuestion iscompletelymisinterpretedby thespeakerscatterdata looksjust like ablobmissingaxislabelsomeoneis skepticalof machinelearningplots areway toosmallsoundis tooloudwe are 10minutesbehindscheduleYourattentionsnaps backhearing "inconclusion"we reachslide 20 ina 12" talkreallybad fitsomeonenear youdisagreesaudiblyYou can'thear thespeakerwellI nearlyfellasleepA 5-pointedstart isused in aslideUnfamiliarjargonunnecessarythank-youslideQuestionis just acommentSpeakeris justfacing theslidesAphonegoes offsomeonesays: "asyou know",but you don'tknow.Magneticfields getblamed for aweirdobservationWay toomuch texton a slide"I willcomeback tothat"missingslidenumbersQuestion iscompletelymisinterpretedby thespeakerscatterdata looksjust like ablobmissingaxislabelsomeoneis skepticalof machinelearningplots areway toosmallsoundis tooloudwe are 10minutesbehindscheduleYourattentionsnaps backhearing "inconclusion"we reachslide 20 ina 12" talkreallybad fitsomeonenear youdisagreesaudiblyYou can'thear thespeakerwellI nearlyfellasleepA 5-pointedstart isused in aslideUnfamiliarjargon

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