SomeonementionsbatcheffectsSomeonementionsresubmission“We don’tfullyunderstandthemechanism”“Itworkedonce”SomeonementionsbioinformaticstroubleshootingA meetingcouldhave beenan emailA protocol isfollowed “withminormodifications”SomeonementionsimpactfactorA labmeetingruns overtimeA figure wasremade atthe lastminuteA hypothesisis refinedafter seeingthe results“The dataspeak forthemselves”Anexperimentis describedas “tricky”A methodonly oneperson in thelabunderstands“This ispreliminary”“We areunderpowered”“Wealmostgave upon this”“Statisticallysignificant”isemphasizedCoffee istreated asa researchtoolA controlexperimentis addedlate“Reviewer2” ismentionedA figure isdescribedas “self-explanatory”Someonementions arejectedmanuscript“Thesamplesize islimited”“This should bestraightforward”Someonementionsworking onthe weekend“Thisopensmany newquestions”“We had tooptimizethisextensively”Someonementionslack offundingA methodsectionreferencesanother paperfor detailsAcollaborationis called“veryproductive”A negativeresult iscalled“interesting”A result iscalled“unexpected”“The resultsarereproducible…mostly”A study isdescribedas “proofof concept”A grant isdescribed as“competitive”Fundingagencyacronym isused withoutexplanation“Due to timeconstraints…”“We’ll fixit inrevision”A methodisdescribedas “robust”A PhDstudentexplains aseniorauthor’s workSomeoneapologizesfor toomany slidesAdeadlineisextended“We needmoredata”SomeonereferencesSupplementaryFigure 12A reviewerasks for anunrelatedexperiment“This isoutside thescope ofthe study”“Let’sdiscussthisoffline”Someonesays “It’swell knownthat…”A figurelegend islonger thanthe textAdeadlineis missedSomeonementionssamplestorageissuesA PI says“Interesting…”SomeonementionsethicsapprovaldelaysA timeline isdescribedas“ambitious”A statisticaltest ischosenpost hoc“This willstrengthenthe paper”Someonesays “Intheory…”A reviewerrequestsmorereferencesA datasetisdescribedas “messy”SomeonementionsbatcheffectsSomeonementionsresubmission“We don’tfullyunderstandthemechanism”“Itworkedonce”SomeonementionsbioinformaticstroubleshootingA meetingcouldhave beenan emailA protocol isfollowed “withminormodifications”SomeonementionsimpactfactorA labmeetingruns overtimeA figure wasremade atthe lastminuteA hypothesisis refinedafter seeingthe results“The dataspeak forthemselves”Anexperimentis describedas “tricky”A methodonly oneperson in thelabunderstands“This ispreliminary”“We areunderpowered”“Wealmostgave upon this”“Statisticallysignificant”isemphasizedCoffee istreated asa researchtoolA controlexperimentis addedlate“Reviewer2” ismentionedA figure isdescribedas “self-explanatory”Someonementions arejectedmanuscript“Thesamplesize islimited”“This should bestraightforward”Someonementionsworking onthe weekend“Thisopensmany newquestions”“We had tooptimizethisextensively”Someonementionslack offundingA methodsectionreferencesanother paperfor detailsAcollaborationis called“veryproductive”A negativeresult iscalled“interesting”A result iscalled“unexpected”“The resultsarereproducible…mostly”A study isdescribedas “proofof concept”A grant isdescribed as“competitive”Fundingagencyacronym isused withoutexplanation“Due to timeconstraints…”“We’ll fixit inrevision”A methodisdescribedas “robust”A PhDstudentexplains aseniorauthor’s workSomeoneapologizesfor toomany slidesAdeadlineisextended“We needmoredata”SomeonereferencesSupplementaryFigure 12A reviewerasks for anunrelatedexperiment“This isoutside thescope ofthe study”“Let’sdiscussthisoffline”Someonesays “It’swell knownthat…”A figurelegend islonger thanthe textAdeadlineis missedSomeonementionssamplestorageissuesA PI says“Interesting…”SomeonementionsethicsapprovaldelaysA timeline isdescribedas“ambitious”A statisticaltest ischosenpost hoc“This willstrengthenthe paper”Someonesays “Intheory…”A reviewerrequestsmorereferencesA datasetisdescribedas “messy”

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