“Wealmostgave upon this”A reviewerrequestsmorereferencesA statisticaltest ischosenpost hoc“We needmoredata”A methodisdescribedas “robust”“This ispreliminary”A figurelegend islonger thanthe text“Let’sdiscussthisoffline”A PhDstudentexplains aseniorauthor’s workA methodsectionreferencesanother paperfor details“We’ll fixit inrevision”SomeonementionsresubmissionCoffee istreated asa researchtoolSomeonementionssamplestorageissuesAcollaborationis called“veryproductive”A controlexperimentis addedlate“Thisopensmany newquestions”“The dataspeak forthemselves”A reviewerasks for anunrelatedexperiment“We areunderpowered”“We don’tfullyunderstandthemechanism”SomeonementionsimpactfactorA datasetisdescribedas “messy”“Statisticallysignificant”isemphasizedSomeonementions arejectedmanuscriptA study isdescribedas “proofof concept”Someonesays “It’swell knownthat…”A timeline isdescribedas“ambitious”Someonesays “Intheory…”SomeonereferencesSupplementaryFigure 12SomeonementionsbioinformaticstroubleshootingA protocol isfollowed “withminormodifications”A grant isdescribed as“competitive”“Thesamplesize islimited”Anexperimentis describedas “tricky”A labmeetingruns overtimeA result iscalled“unexpected”A figure wasremade atthe lastminute“Reviewer2” ismentionedSomeonementionslack offunding“This isoutside thescope ofthe study”Someonementionsworking onthe weekend“The resultsarereproducible…mostly”A PI says“Interesting…”A methodonly oneperson in thelabunderstandsA figure isdescribedas “self-explanatory”Someonementionsethicsapprovaldelays“Due to timeconstraints…”Adeadlineisextended“This willstrengthenthe paper”A meetingcouldhave beenan emailSomeonementionsbatcheffects“This should bestraightforward”A hypothesisis refinedafter seeingthe resultsFundingagencyacronym isused withoutexplanationA negativeresult iscalled“interesting”“We had tooptimizethisextensively”“Itworkedonce”Someoneapologizesfor toomany slidesAdeadlineis missed“Wealmostgave upon this”A reviewerrequestsmorereferencesA statisticaltest ischosenpost hoc“We needmoredata”A methodisdescribedas “robust”“This ispreliminary”A figurelegend islonger thanthe text“Let’sdiscussthisoffline”A PhDstudentexplains aseniorauthor’s workA methodsectionreferencesanother paperfor details“We’ll fixit inrevision”SomeonementionsresubmissionCoffee istreated asa researchtoolSomeonementionssamplestorageissuesAcollaborationis called“veryproductive”A controlexperimentis addedlate“Thisopensmany newquestions”“The dataspeak forthemselves”A reviewerasks for anunrelatedexperiment“We areunderpowered”“We don’tfullyunderstandthemechanism”SomeonementionsimpactfactorA datasetisdescribedas “messy”“Statisticallysignificant”isemphasizedSomeonementions arejectedmanuscriptA study isdescribedas “proofof concept”Someonesays “It’swell knownthat…”A timeline isdescribedas“ambitious”Someonesays “Intheory…”SomeonereferencesSupplementaryFigure 12SomeonementionsbioinformaticstroubleshootingA protocol isfollowed “withminormodifications”A grant isdescribed as“competitive”“Thesamplesize islimited”Anexperimentis describedas “tricky”A labmeetingruns overtimeA result iscalled“unexpected”A figure wasremade atthe lastminute“Reviewer2” ismentionedSomeonementionslack offunding“This isoutside thescope ofthe study”Someonementionsworking onthe weekend“The resultsarereproducible…mostly”A PI says“Interesting…”A methodonly oneperson in thelabunderstandsA figure isdescribedas “self-explanatory”Someonementionsethicsapprovaldelays“Due to timeconstraints…”Adeadlineisextended“This willstrengthenthe paper”A meetingcouldhave beenan emailSomeonementionsbatcheffects“This should bestraightforward”A hypothesisis refinedafter seeingthe resultsFundingagencyacronym isused withoutexplanationA negativeresult iscalled“interesting”“We had tooptimizethisextensively”“Itworkedonce”Someoneapologizesfor toomany slidesAdeadlineis missed

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
  1. “We almost gave up on this”
  2. A reviewer requests more references
  3. A statistical test is chosen post hoc
  4. “We need more data”
  5. A method is described as “robust”
  6. “This is preliminary”
  7. A figure legend is longer than the text
  8. “Let’s discuss this offline”
  9. A PhD student explains a senior author’s work
  10. A method section references another paper for details
  11. “We’ll fix it in revision”
  12. Someone mentions resubmission
  13. Coffee is treated as a research tool
  14. Someone mentions sample storage issues
  15. A collaboration is called “very productive”
  16. A control experiment is added late
  17. “This opens many new questions”
  18. “The data speak for themselves”
  19. A reviewer asks for an unrelated experiment
  20. “We are underpowered”
  21. “We don’t fully understand the mechanism”
  22. Someone mentions impact factor
  23. A dataset is described as “messy”
  24. “Statistically significant” is emphasized
  25. Someone mentions a rejected manuscript
  26. A study is described as “proof of concept”
  27. Someone says “It’s well known that…”
  28. A timeline is described as “ambitious”
  29. Someone says “In theory…”
  30. Someone references Supplementary Figure 12
  31. Someone mentions bioinformatics troubleshooting
  32. A protocol is followed “with minor modifications”
  33. A grant is described as “competitive”
  34. “The sample size is limited”
  35. An experiment is described as “tricky”
  36. A lab meeting runs over time
  37. A result is called “unexpected”
  38. A figure was remade at the last minute
  39. “Reviewer 2” is mentioned
  40. Someone mentions lack of funding
  41. “This is outside the scope of the study”
  42. Someone mentions working on the weekend
  43. “The results are reproducible… mostly”
  44. A PI says “Interesting…”
  45. A method only one person in the lab understands
  46. A figure is described as “self-explanatory”
  47. Someone mentions ethics approval delays
  48. “Due to time constraints…”
  49. A deadline is extended
  50. “This will strengthen the paper”
  51. A meeting could have been an email
  52. Someone mentions batch effects
  53. “This should be straightforward”
  54. A hypothesis is refined after seeing the results
  55. Funding agency acronym is used without explanation
  56. A negative result is called “interesting”
  57. “We had to optimize this extensively”
  58. “It worked once”
  59. Someone apologizes for too many slides
  60. A deadline is missed