A PI says“Interesting…”A statisticaltest ischosenpost hoc“Wealmostgave upon this”A study isdescribedas “proofof concept”“The dataspeak forthemselves”A figure isdescribedas “self-explanatory”A labmeetingruns overtimeSomeonementionsbatcheffects“Itworkedonce”Someonementionsworking onthe weekendAdeadlineisextendedSomeonesays “Intheory…”A meetingcouldhave beenan emailA methodisdescribedas “robust”“This ispreliminary”A methodonly oneperson in thelabunderstandsA PhDstudentexplains aseniorauthor’s workSomeonementionsethicsapprovaldelays“Thesamplesize islimited”Someonementionslack offunding“Let’sdiscussthisoffline”“This should bestraightforward”“We’ll fixit inrevision”A datasetisdescribedas “messy”A timeline isdescribedas“ambitious”“We don’tfullyunderstandthemechanism”SomeonereferencesSupplementaryFigure 12A result iscalled“unexpected”Someonesays “It’swell knownthat…”“Due to timeconstraints…”“Statisticallysignificant”isemphasized“This willstrengthenthe paper”“The resultsarereproducible…mostly”Acollaborationis called“veryproductive”“Thisopensmany newquestions”A controlexperimentis addedlateA protocol isfollowed “withminormodifications”Adeadlineis missedA reviewerasks for anunrelatedexperimentSomeonementionsimpactfactorA hypothesisis refinedafter seeingthe resultsA figure wasremade atthe lastminute“This isoutside thescope ofthe study”SomeonementionssamplestorageissuesA reviewerrequestsmorereferencesAnexperimentis describedas “tricky”Someonementionsresubmission“Reviewer2” ismentionedSomeonementions arejectedmanuscript“We had tooptimizethisextensively”Someonementionsbioinformaticstroubleshooting“We needmoredata”A figurelegend islonger thanthe textCoffee istreated asa researchtool“We areunderpowered”Fundingagencyacronym isused withoutexplanationA methodsectionreferencesanother paperfor detailsA grant isdescribed as“competitive”A negativeresult iscalled“interesting”Someoneapologizesfor toomany slidesA PI says“Interesting…”A statisticaltest ischosenpost hoc“Wealmostgave upon this”A study isdescribedas “proofof concept”“The dataspeak forthemselves”A figure isdescribedas “self-explanatory”A labmeetingruns overtimeSomeonementionsbatcheffects“Itworkedonce”Someonementionsworking onthe weekendAdeadlineisextendedSomeonesays “Intheory…”A meetingcouldhave beenan emailA methodisdescribedas “robust”“This ispreliminary”A methodonly oneperson in thelabunderstandsA PhDstudentexplains aseniorauthor’s workSomeonementionsethicsapprovaldelays“Thesamplesize islimited”Someonementionslack offunding“Let’sdiscussthisoffline”“This should bestraightforward”“We’ll fixit inrevision”A datasetisdescribedas “messy”A timeline isdescribedas“ambitious”“We don’tfullyunderstandthemechanism”SomeonereferencesSupplementaryFigure 12A result iscalled“unexpected”Someonesays “It’swell knownthat…”“Due to timeconstraints…”“Statisticallysignificant”isemphasized“This willstrengthenthe paper”“The resultsarereproducible…mostly”Acollaborationis called“veryproductive”“Thisopensmany newquestions”A controlexperimentis addedlateA protocol isfollowed “withminormodifications”Adeadlineis missedA reviewerasks for anunrelatedexperimentSomeonementionsimpactfactorA hypothesisis refinedafter seeingthe resultsA figure wasremade atthe lastminute“This isoutside thescope ofthe study”SomeonementionssamplestorageissuesA reviewerrequestsmorereferencesAnexperimentis describedas “tricky”Someonementionsresubmission“Reviewer2” ismentionedSomeonementions arejectedmanuscript“We had tooptimizethisextensively”Someonementionsbioinformaticstroubleshooting“We needmoredata”A figurelegend islonger thanthe textCoffee istreated asa researchtool“We areunderpowered”Fundingagencyacronym isused withoutexplanationA methodsectionreferencesanother paperfor detailsA grant isdescribed as“competitive”A negativeresult iscalled“interesting”Someoneapologizesfor toomany slides

Nobel dinner: Academic 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. A PI says “Interesting…”
  2. A statistical test is chosen post hoc
  3. “We almost gave up on this”
  4. A study is described as “proof of concept”
  5. “The data speak for themselves”
  6. A figure is described as “self-explanatory”
  7. A lab meeting runs over time
  8. Someone mentions batch effects
  9. “It worked once”
  10. Someone mentions working on the weekend
  11. A deadline is extended
  12. Someone says “In theory…”
  13. A meeting could have been an email
  14. A method is described as “robust”
  15. “This is preliminary”
  16. A method only one person in the lab understands
  17. A PhD student explains a senior author’s work
  18. Someone mentions ethics approval delays
  19. “The sample size is limited”
  20. Someone mentions lack of funding
  21. “Let’s discuss this offline”
  22. “This should be straightforward”
  23. “We’ll fix it in revision”
  24. A dataset is described as “messy”
  25. A timeline is described as “ambitious”
  26. “We don’t fully understand the mechanism”
  27. Someone references Supplementary Figure 12
  28. A result is called “unexpected”
  29. Someone says “It’s well known that…”
  30. “Due to time constraints…”
  31. “Statistically significant” is emphasized
  32. “This will strengthen the paper”
  33. “The results are reproducible… mostly”
  34. A collaboration is called “very productive”
  35. “This opens many new questions”
  36. A control experiment is added late
  37. A protocol is followed “with minor modifications”
  38. A deadline is missed
  39. A reviewer asks for an unrelated experiment
  40. Someone mentions impact factor
  41. A hypothesis is refined after seeing the results
  42. A figure was remade at the last minute
  43. “This is outside the scope of the study”
  44. Someone mentions sample storage issues
  45. A reviewer requests more references
  46. An experiment is described as “tricky”
  47. Someone mentions resubmission
  48. “Reviewer 2” is mentioned
  49. Someone mentions a rejected manuscript
  50. “We had to optimize this extensively”
  51. Someone mentions bioinformatics troubleshooting
  52. “We need more data”
  53. A figure legend is longer than the text
  54. Coffee is treated as a research tool
  55. “We are underpowered”
  56. Funding agency acronym is used without explanation
  57. A method section references another paper for details
  58. A grant is described as “competitive”
  59. A negative result is called “interesting”
  60. Someone apologizes for too many slides