reallybad fitsomeonesays: "asyou know",but you don'tknow.missingslidenumbersmicrophonecarrierscan't keepupsomeonenear youdisagreesaudiblyunnecessarythank-youslideThatshould nothave beena log plotscatterdata looksjust like ablob"this is nota questionto you"Questionis just acomment"I willcomeback tothat"Question iscompletelymisinterpretedby thespeakerJim: "Iagree withHarm"UnfamiliarjargonAphonegoes offYourattentionsnaps backhearing "inconclusion"plots areway toosmallsomeoneis skepticalof machinelearningSpeakeris justfacing theslides"Let's hireacompany"soundis tooloudwe reachslide 20 ina 12" talkWay toomuch texton a slideYou can'thear thespeakerwellwe are 10minutesbehindschedulereallybad fitsomeonesays: "asyou know",but you don'tknow.missingslidenumbersmicrophonecarrierscan't keepupsomeonenear youdisagreesaudiblyunnecessarythank-youslideThatshould nothave beena log plotscatterdata looksjust like ablob"this is nota questionto you"Questionis just acomment"I willcomeback tothat"Question iscompletelymisinterpretedby thespeakerJim: "Iagree withHarm"UnfamiliarjargonAphonegoes offYourattentionsnaps backhearing "inconclusion"plots areway toosmallsomeoneis skepticalof machinelearningSpeakeris justfacing theslides"Let's hireacompany"soundis tooloudwe reachslide 20 ina 12" talkWay toomuch texton a slideYou can'thear thespeakerwellwe are 10minutesbehindschedule

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
21
22
23
24
25
  1. really bad fit
  2. someone says: "as you know", but you don't know.
  3. missing slide numbers
  4. microphone carriers can't keep up
  5. someone near you disagrees audibly
  6. unnecessary thank-you slide
  7. That should not have been a log plot
  8. scatter data looks just like a blob
  9. "this is not a question to you"
  10. Question is just a comment
  11. "I will come back to that"
  12. Question is completely misinterpreted by the speaker
  13. Jim: "I agree with Harm"
  14. Unfamiliar jargon
  15. A phone goes off
  16. Your attention snaps back hearing "in conclusion"
  17. plots are way too small
  18. someone is skeptical of machine learning
  19. Speaker is just facing the slides
  20. "Let's hire a company"
  21. sound is too loud
  22. we reach slide 20 in a 12" talk
  23. Way too much text on a slide
  24. You can't hear the speaker well
  25. we are 10 minutes behind schedule