A statistical test is chosen post hoc “The sample size is limited” A negative result is called “interesting” “We almost gave up on this” A result is called “unexpected” Someone mentions impact factor A method section references another paper for details A dataset is described as “messy” “We had to optimize this extensively” “We’ll fix it in revision” A meeting could have been an email Someone says “It’s well known that…” “We don’t fully understand the mechanism” Funding agency acronym is used without explanation A figure is described as “self- explanatory” “Statistically significant” is emphasized A control experiment is added late “The results are reproducible… mostly” A method is described as “robust” “It worked once” Someone mentions batch effects “This will strengthen the paper” A figure legend is longer than the text Someone mentions lack of funding “Let’s discuss this offline” Someone references Supplementary Figure 12 Someone says “In theory…” “This opens many new questions” A method only one person in the lab understands Someone mentions ethics approval delays A study is described as “proof of concept” A reviewer requests more references Someone mentions resubmission A deadline is extended “Due to time constraints…” “Reviewer 2” is mentioned Coffee is treated as a research tool A grant is described as “competitive” Someone mentions bioinformatics troubleshooting A deadline is missed A timeline is described as “ambitious” A figure was remade at the last minute “The data speak for themselves” “We are underpowered” A protocol is followed “with minor modifications” A collaboration is called “very productive” Someone mentions a rejected manuscript “This is preliminary” “This should be straightforward” Someone mentions sample storage issues An experiment is described as “tricky” Someone apologizes for too many slides “This is outside the scope of the study” A PI says “Interesting…” A PhD student explains a senior author’s work A reviewer asks for an unrelated experiment A lab meeting runs over time Someone mentions working on the weekend “We need more data” A hypothesis is refined after seeing the results A statistical test is chosen post hoc “The sample size is limited” A negative result is called “interesting” “We almost gave up on this” A result is called “unexpected” Someone mentions impact factor A method section references another paper for details A dataset is described as “messy” “We had to optimize this extensively” “We’ll fix it in revision” A meeting could have been an email Someone says “It’s well known that…” “We don’t fully understand the mechanism” Funding agency acronym is used without explanation A figure is described as “self- explanatory” “Statistically significant” is emphasized A control experiment is added late “The results are reproducible… mostly” A method is described as “robust” “It worked once” Someone mentions batch effects “This will strengthen the paper” A figure legend is longer than the text Someone mentions lack of funding “Let’s discuss this offline” Someone references Supplementary Figure 12 Someone says “In theory…” “This opens many new questions” A method only one person in the lab understands Someone mentions ethics approval delays A study is described as “proof of concept” A reviewer requests more references Someone mentions resubmission A deadline is extended “Due to time constraints…” “Reviewer 2” is mentioned Coffee is treated as a research tool A grant is described as “competitive” Someone mentions bioinformatics troubleshooting A deadline is missed A timeline is described as “ambitious” A figure was remade at the last minute “The data speak for themselves” “We are underpowered” A protocol is followed “with minor modifications” A collaboration is called “very productive” Someone mentions a rejected manuscript “This is preliminary” “This should be straightforward” Someone mentions sample storage issues An experiment is described as “tricky” Someone apologizes for too many slides “This is outside the scope of the study” A PI says “Interesting…” A PhD student explains a senior author’s work A reviewer asks for an unrelated experiment A lab meeting runs over time Someone mentions working on the weekend “We need more data” A hypothesis is refined after seeing the results
(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.
A statistical test is chosen post hoc
“The sample size is limited”
A negative result is called “interesting”
“We almost gave up on this”
A result is called “unexpected”
Someone mentions impact factor
A method section references another paper for details
A dataset is described as “messy”
“We had to optimize this extensively”
“We’ll fix it in revision”
A meeting could have been an email
Someone says “It’s well known that…”
“We don’t fully understand the mechanism”
Funding agency acronym is used without explanation
A figure is described as “self-explanatory”
“Statistically significant” is emphasized
A control experiment is added late
“The results are reproducible… mostly”
A method is described as “robust”
“It worked once”
Someone mentions batch effects
“This will strengthen the paper”
A figure legend is longer than the text
Someone mentions lack of funding
“Let’s discuss this offline”
Someone references Supplementary Figure 12
Someone says “In theory…”
“This opens many new questions”
A method only one person in the lab understands
Someone mentions ethics approval delays
A study is described as “proof of concept”
A reviewer requests more references
Someone mentions resubmission
A deadline is extended
“Due to time constraints…”
“Reviewer 2” is mentioned
Coffee is treated as a research tool
A grant is described as “competitive”
Someone mentions bioinformatics troubleshooting
A deadline is missed
A timeline is described as “ambitious”
A figure was remade at the last minute
“The data speak for themselves”
“We are underpowered”
A protocol is followed “with minor modifications”
A collaboration is called “very productive”
Someone mentions a rejected manuscript
“This is preliminary”
“This should be straightforward”
Someone mentions sample storage issues
An experiment is described as “tricky”
Someone apologizes for too many slides
“This is outside the scope of the study”
A PI says “Interesting…”
A PhD student explains a senior author’s work
A reviewer asks for an unrelated experiment
A lab meeting runs over time
Someone mentions working on the weekend
“We need more data”
A hypothesis is refined after seeing the results