plots areway toosmallreallybad fitscatterdata looksjust like ablobYourattentionsnaps backhearing "inconclusion"Questionis just acommentSpeakeris justfacing theslidesAphonegoes offwe are 10minutesbehindscheduleYou can'thear thespeakerwellQuestion iscompletelymisinterpretedby thespeaker"I willcomeback tothat"unnecessarythank-youslideWay toomuch texton a slidemissingslidenumberssomeonenear youdisagreesaudiblywe reachslide 20 ina 12" talkUnfamiliarjargonsomeoneis skepticalof machinelearningsoundis tooloudsomeonesays: "asyou know",but you don'tknow.plots areway toosmallreallybad fitscatterdata looksjust like ablobYourattentionsnaps backhearing "inconclusion"Questionis just acommentSpeakeris justfacing theslidesAphonegoes offwe are 10minutesbehindscheduleYou can'thear thespeakerwellQuestion iscompletelymisinterpretedby thespeaker"I willcomeback tothat"unnecessarythank-youslideWay toomuch texton a slidemissingslidenumberssomeonenear youdisagreesaudiblywe reachslide 20 ina 12" talkUnfamiliarjargonsomeoneis skepticalof machinelearningsoundis tooloudsomeonesays: "asyou know",but you don'tknow.

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.


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