LovestheirjobHas done aregressionanalysis inSASTried topublishrepeatedlyHas anuncommonpetCanknitHas linkedlargedatasetsHas atattooVolunteersHaswritten ablog postHas adogUsessocialmedia forworkLovesGISmappingSpeaksanotherlanguagePlays astringedinstrumentSucceededat grantacquisitionFailedto getgrantHas beento SouthAmericaLikesto runHasa catLikescheesecakeHas usedTableaufor BDHas beento EastAsiaHas beentoSwitzerlandCansnowboardMade abirthdefectsfact sheetWorkedwithlegislatorIs adatabasemanagerLikesspicyfoodDid aclusterinvestig.LovestheirjobHas done aregressionanalysis inSASTried topublishrepeatedlyHas anuncommonpetCanknitHas linkedlargedatasetsHas atattooVolunteersHaswritten ablog postHas adogUsessocialmedia forworkLovesGISmappingSpeaksanotherlanguagePlays astringedinstrumentSucceededat grantacquisitionFailedto getgrantHas beento SouthAmericaLikesto runHasa catLikescheesecakeHas usedTableaufor BDHas beento EastAsiaHas beentoSwitzerlandCansnowboardMade abirthdefectsfact sheetWorkedwithlegislatorIs adatabasemanagerLikesspicyfoodDid aclusterinvestig.

NBDPN 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. Loves their job
  2. Has done a regression analysis in SAS
  3. Tried to publish repeatedly
  4. Has an uncommon pet
  5. Can knit
  6. Has linked large datasets
  7. Has a tattoo
  8. Volunteers
  9. Has written a blog post
  10. Has a dog
  11. Uses social media for work
  12. Loves GIS mapping
  13. Speaks another language
  14. Plays a stringed instrument
  15. Succeeded at grant acquisition
  16. Failed to get grant
  17. Has been to South America
  18. Likes to run
  19. Has a cat
  20. Likes cheesecake
  21. Has used Tableau for BD
  22. Has been to East Asia
  23. Has been to Switzerland
  24. Can snowboard
  25. Made a birth defects fact sheet
  26. Worked with legislator
  27. Is a database manager
  28. Likes spicy food
  29. Did a cluster investig.