“We’ll fixit inrevision”“Due to timeconstraints…”A methodonly oneperson in thelabunderstandsA methodsectionreferencesanother paperfor detailsA study isdescribedas “proofof concept”A timeline isdescribedas“ambitious”“We needmoredata”“This willstrengthenthe paper”SomeonementionsbioinformaticstroubleshootingA figure wasremade atthe lastminuteA controlexperimentis addedlateSomeonementionsbatcheffectsA reviewerrequestsmorereferencesA PI says“Interesting…”“The dataspeak forthemselves”A protocol isfollowed “withminormodifications”Someonementions arejectedmanuscript“Wealmostgave upon this”AdeadlineisextendedA result iscalled“unexpected”“We don’tfullyunderstandthemechanism”Anexperimentis describedas “tricky”“Reviewer2” ismentionedSomeonementionsimpactfactor“The resultsarereproducible…mostly”A grant isdescribed as“competitive”Someonementionsworking onthe weekend“This isoutside thescope ofthe study”“Itworkedonce”Adeadlineis missedFundingagencyacronym isused withoutexplanationSomeonementionssamplestorageissues“We had tooptimizethisextensively”Someonementionslack offunding“We areunderpowered”“This ispreliminary”Coffee istreated asa researchtool“Thisopensmany newquestions”Someonesays “Intheory…”A figure isdescribedas “self-explanatory”“This should bestraightforward”A reviewerasks for anunrelatedexperimentA statisticaltest ischosenpost hocSomeonementionsresubmission“Let’sdiscussthisoffline”A PhDstudentexplains aseniorauthor’s workSomeonesays “It’swell knownthat…”SomeonementionsethicsapprovaldelaysA methodisdescribedas “robust”Acollaborationis called“veryproductive”A labmeetingruns overtimeA meetingcouldhave beenan emailA datasetisdescribedas “messy”“Statisticallysignificant”isemphasizedSomeonereferencesSupplementaryFigure 12A negativeresult iscalled“interesting”“Thesamplesize islimited”A hypothesisis refinedafter seeingthe resultsA figurelegend islonger thanthe textSomeoneapologizesfor toomany slides“We’ll fixit inrevision”“Due to timeconstraints…”A methodonly oneperson in thelabunderstandsA methodsectionreferencesanother paperfor detailsA study isdescribedas “proofof concept”A timeline isdescribedas“ambitious”“We needmoredata”“This willstrengthenthe paper”SomeonementionsbioinformaticstroubleshootingA figure wasremade atthe lastminuteA controlexperimentis addedlateSomeonementionsbatcheffectsA reviewerrequestsmorereferencesA PI says“Interesting…”“The dataspeak forthemselves”A protocol isfollowed “withminormodifications”Someonementions arejectedmanuscript“Wealmostgave upon this”AdeadlineisextendedA result iscalled“unexpected”“We don’tfullyunderstandthemechanism”Anexperimentis describedas “tricky”“Reviewer2” ismentionedSomeonementionsimpactfactor“The resultsarereproducible…mostly”A grant isdescribed as“competitive”Someonementionsworking onthe weekend“This isoutside thescope ofthe study”“Itworkedonce”Adeadlineis missedFundingagencyacronym isused withoutexplanationSomeonementionssamplestorageissues“We had tooptimizethisextensively”Someonementionslack offunding“We areunderpowered”“This ispreliminary”Coffee istreated asa researchtool“Thisopensmany newquestions”Someonesays “Intheory…”A figure isdescribedas “self-explanatory”“This should bestraightforward”A reviewerasks for anunrelatedexperimentA statisticaltest ischosenpost hocSomeonementionsresubmission“Let’sdiscussthisoffline”A PhDstudentexplains aseniorauthor’s workSomeonesays “It’swell knownthat…”SomeonementionsethicsapprovaldelaysA methodisdescribedas “robust”Acollaborationis called“veryproductive”A labmeetingruns overtimeA meetingcouldhave beenan emailA datasetisdescribedas “messy”“Statisticallysignificant”isemphasizedSomeonereferencesSupplementaryFigure 12A negativeresult iscalled“interesting”“Thesamplesize islimited”A hypothesisis refinedafter seeingthe resultsA figurelegend islonger thanthe textSomeoneapologizesfor 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. “We’ll fix it in revision”
  2. “Due to time constraints…”
  3. A method only one person in the lab understands
  4. A method section references another paper for details
  5. A study is described as “proof of concept”
  6. A timeline is described as “ambitious”
  7. “We need more data”
  8. “This will strengthen the paper”
  9. Someone mentions bioinformatics troubleshooting
  10. A figure was remade at the last minute
  11. A control experiment is added late
  12. Someone mentions batch effects
  13. A reviewer requests more references
  14. A PI says “Interesting…”
  15. “The data speak for themselves”
  16. A protocol is followed “with minor modifications”
  17. Someone mentions a rejected manuscript
  18. “We almost gave up on this”
  19. A deadline is extended
  20. A result is called “unexpected”
  21. “We don’t fully understand the mechanism”
  22. An experiment is described as “tricky”
  23. “Reviewer 2” is mentioned
  24. Someone mentions impact factor
  25. “The results are reproducible… mostly”
  26. A grant is described as “competitive”
  27. Someone mentions working on the weekend
  28. “This is outside the scope of the study”
  29. “It worked once”
  30. A deadline is missed
  31. Funding agency acronym is used without explanation
  32. Someone mentions sample storage issues
  33. “We had to optimize this extensively”
  34. Someone mentions lack of funding
  35. “We are underpowered”
  36. “This is preliminary”
  37. Coffee is treated as a research tool
  38. “This opens many new questions”
  39. Someone says “In theory…”
  40. A figure is described as “self-explanatory”
  41. “This should be straightforward”
  42. A reviewer asks for an unrelated experiment
  43. A statistical test is chosen post hoc
  44. Someone mentions resubmission
  45. “Let’s discuss this offline”
  46. A PhD student explains a senior author’s work
  47. Someone says “It’s well known that…”
  48. Someone mentions ethics approval delays
  49. A method is described as “robust”
  50. A collaboration is called “very productive”
  51. A lab meeting runs over time
  52. A meeting could have been an email
  53. A dataset is described as “messy”
  54. “Statistically significant” is emphasized
  55. Someone references Supplementary Figure 12
  56. A negative result is called “interesting”
  57. “The sample size is limited”
  58. A hypothesis is refined after seeing the results
  59. A figure legend is longer than the text
  60. Someone apologizes for too many slides