SomeonementionsbatcheffectsA grant isdescribed as“competitive”“The dataspeak forthemselves”SomeonementionsbioinformaticstroubleshootingA methodisdescribedas “robust”Someonementionslack offundingSomeonementionsimpactfactorA result iscalled“unexpected”A methodsectionreferencesanother paperfor details“Thesamplesize islimited”“This ispreliminary”“Due to timeconstraints…”A statisticaltest ischosenpost hocAdeadlineis missedAcollaborationis called“veryproductive”A PI says“Interesting…”Someoneapologizesfor toomany slides“Thisopensmany newquestions”“The resultsarereproducible…mostly”AdeadlineisextendedA protocol isfollowed “withminormodifications”A figure wasremade atthe lastminute“Statisticallysignificant”isemphasizedA meetingcouldhave beenan emailSomeonementionsresubmission“We’ll fixit inrevision”“This should bestraightforward”A figure isdescribedas “self-explanatory”“Wealmostgave upon this”A study isdescribedas “proofof concept”Someonesays “Intheory…”“Itworkedonce”“We don’tfullyunderstandthemechanism”A negativeresult iscalled“interesting”“Let’sdiscussthisoffline”Someonementionsworking onthe weekend“We areunderpowered”SomeonereferencesSupplementaryFigure 12A methodonly oneperson in thelabunderstands“We had tooptimizethisextensively”A hypothesisis refinedafter seeingthe resultsA controlexperimentis addedlateA reviewerrequestsmorereferencesSomeonesays “It’swell knownthat…”“This willstrengthenthe paper”Coffee istreated asa researchtoolA figurelegend islonger thanthe textAnexperimentis describedas “tricky”“We needmoredata”SomeonementionsethicsapprovaldelaysA PhDstudentexplains aseniorauthor’s workA reviewerasks for anunrelatedexperiment“This isoutside thescope ofthe study”SomeonementionssamplestorageissuesA datasetisdescribedas “messy”Someonementions arejectedmanuscriptA labmeetingruns overtimeFundingagencyacronym isused withoutexplanationA timeline isdescribedas“ambitious”“Reviewer2” ismentionedSomeonementionsbatcheffectsA grant isdescribed as“competitive”“The dataspeak forthemselves”SomeonementionsbioinformaticstroubleshootingA methodisdescribedas “robust”Someonementionslack offundingSomeonementionsimpactfactorA result iscalled“unexpected”A methodsectionreferencesanother paperfor details“Thesamplesize islimited”“This ispreliminary”“Due to timeconstraints…”A statisticaltest ischosenpost hocAdeadlineis missedAcollaborationis called“veryproductive”A PI says“Interesting…”Someoneapologizesfor toomany slides“Thisopensmany newquestions”“The resultsarereproducible…mostly”AdeadlineisextendedA protocol isfollowed “withminormodifications”A figure wasremade atthe lastminute“Statisticallysignificant”isemphasizedA meetingcouldhave beenan emailSomeonementionsresubmission“We’ll fixit inrevision”“This should bestraightforward”A figure isdescribedas “self-explanatory”“Wealmostgave upon this”A study isdescribedas “proofof concept”Someonesays “Intheory…”“Itworkedonce”“We don’tfullyunderstandthemechanism”A negativeresult iscalled“interesting”“Let’sdiscussthisoffline”Someonementionsworking onthe weekend“We areunderpowered”SomeonereferencesSupplementaryFigure 12A methodonly oneperson in thelabunderstands“We had tooptimizethisextensively”A hypothesisis refinedafter seeingthe resultsA controlexperimentis addedlateA reviewerrequestsmorereferencesSomeonesays “It’swell knownthat…”“This willstrengthenthe paper”Coffee istreated asa researchtoolA figurelegend islonger thanthe textAnexperimentis describedas “tricky”“We needmoredata”SomeonementionsethicsapprovaldelaysA PhDstudentexplains aseniorauthor’s workA reviewerasks for anunrelatedexperiment“This isoutside thescope ofthe study”SomeonementionssamplestorageissuesA datasetisdescribedas “messy”Someonementions arejectedmanuscriptA labmeetingruns overtimeFundingagencyacronym isused withoutexplanationA timeline isdescribedas“ambitious”“Reviewer2” ismentioned

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