we are 10minutesbehindscheduleAphonegoes offsoundis tooloudQuestionis just acommentsomeonesays: "asyou know",but you don'tknow.Yourattentionsnaps backhearing "inconclusion"missingslidenumbersUnfamiliarjargonscatterdata looksjust like ablobQuestion iscompletelymisinterpretedby thespeakerwe reachslide 20 ina 12" talkplots areway toosmallWay toomuch texton a slidesomeonenear youdisagreesaudiblySpeakeris justfacing theslidesunnecessarythank-youslide"I willcomeback tothat"someoneis skepticalof machinelearningreallybad fitYou can'thear thespeakerwellwe are 10minutesbehindscheduleAphonegoes offsoundis tooloudQuestionis just acommentsomeonesays: "asyou know",but you don'tknow.Yourattentionsnaps backhearing "inconclusion"missingslidenumbersUnfamiliarjargonscatterdata looksjust like ablobQuestion iscompletelymisinterpretedby thespeakerwe reachslide 20 ina 12" talkplots areway toosmallWay toomuch texton a slidesomeonenear youdisagreesaudiblySpeakeris justfacing theslidesunnecessarythank-youslide"I willcomeback tothat"someoneis skepticalof machinelearningreallybad fitYou can'thear thespeakerwell

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