A methodonly oneperson in thelabunderstandsA figure isdescribedas “self-explanatory”A statisticaltest ischosenpost hoc“Wealmostgave upon this”“This isoutside thescope ofthe study”“The dataspeak forthemselves”A grant isdescribed as“competitive”Someonesays “It’swell knownthat…”“This willstrengthenthe paper”SomeonereferencesSupplementaryFigure 12Coffee istreated asa researchtool“This should bestraightforward”A figurelegend islonger thanthe text“Thisopensmany newquestions”A timeline isdescribedas“ambitious”Someonementionsimpactfactor“We don’tfullyunderstandthemechanism”A figure wasremade atthe lastminute“Thesamplesize islimited”A methodsectionreferencesanother paperfor detailsA PI says“Interesting…”A meetingcouldhave beenan email“We had tooptimizethisextensively”“We needmoredata”A negativeresult iscalled“interesting”Adeadlineis missedSomeonementionsworking onthe weekendA labmeetingruns overtimeA reviewerrequestsmorereferencesA reviewerasks for anunrelatedexperiment“This ispreliminary”“We’ll fixit inrevision”Acollaborationis called“veryproductive”Someonesays “Intheory…”Anexperimentis describedas “tricky”SomeonementionsbioinformaticstroubleshootingSomeonementionslack offundingSomeoneapologizesfor toomany slides“Due to timeconstraints…”A study isdescribedas “proofof concept”“Statisticallysignificant”isemphasizedFundingagencyacronym isused withoutexplanationA controlexperimentis addedlateSomeonementionsethicsapprovaldelays“Let’sdiscussthisoffline”A methodisdescribedas “robust”A protocol isfollowed “withminormodifications”“Reviewer2” ismentioned“We areunderpowered”SomeonementionsbatcheffectsA result iscalled“unexpected”“Itworkedonce”AdeadlineisextendedA datasetisdescribedas “messy”A PhDstudentexplains aseniorauthor’s workSomeonementionssamplestorageissues“The resultsarereproducible…mostly”SomeonementionsresubmissionA hypothesisis refinedafter seeingthe resultsSomeonementions arejectedmanuscriptA methodonly oneperson in thelabunderstandsA figure isdescribedas “self-explanatory”A statisticaltest ischosenpost hoc“Wealmostgave upon this”“This isoutside thescope ofthe study”“The dataspeak forthemselves”A grant isdescribed as“competitive”Someonesays “It’swell knownthat…”“This willstrengthenthe paper”SomeonereferencesSupplementaryFigure 12Coffee istreated asa researchtool“This should bestraightforward”A figurelegend islonger thanthe text“Thisopensmany newquestions”A timeline isdescribedas“ambitious”Someonementionsimpactfactor“We don’tfullyunderstandthemechanism”A figure wasremade atthe lastminute“Thesamplesize islimited”A methodsectionreferencesanother paperfor detailsA PI says“Interesting…”A meetingcouldhave beenan email“We had tooptimizethisextensively”“We needmoredata”A negativeresult iscalled“interesting”Adeadlineis missedSomeonementionsworking onthe weekendA labmeetingruns overtimeA reviewerrequestsmorereferencesA reviewerasks for anunrelatedexperiment“This ispreliminary”“We’ll fixit inrevision”Acollaborationis called“veryproductive”Someonesays “Intheory…”Anexperimentis describedas “tricky”SomeonementionsbioinformaticstroubleshootingSomeonementionslack offundingSomeoneapologizesfor toomany slides“Due to timeconstraints…”A study isdescribedas “proofof concept”“Statisticallysignificant”isemphasizedFundingagencyacronym isused withoutexplanationA controlexperimentis addedlateSomeonementionsethicsapprovaldelays“Let’sdiscussthisoffline”A methodisdescribedas “robust”A protocol isfollowed “withminormodifications”“Reviewer2” ismentioned“We areunderpowered”SomeonementionsbatcheffectsA result iscalled“unexpected”“Itworkedonce”AdeadlineisextendedA datasetisdescribedas “messy”A PhDstudentexplains aseniorauthor’s workSomeonementionssamplestorageissues“The resultsarereproducible…mostly”SomeonementionsresubmissionA hypothesisis refinedafter seeingthe resultsSomeonementions arejectedmanuscript

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