Thesethousands ofreports areanecdotalIf I exclude 90%of the trialsbased on myown criteria, theevidence isinsufficientSome similarresearch wasfraudulent and Iwon't run therisk of beingfooledThe researchermight be one ofthe mostexperienced ofhis/her field, but(s)he clearly isgetting senileThis newthing mightdrive peopleaway fromthat old thingThisresearcher ismentioned innaturalhealth blogsResearch hasshown it's untrue(shows researchthat has notshown it'suntrue)LOLWhere isthe 2billiondollar trial?Theuneducatedmasses believethis so it mustbe wrongThese dozens ofstudies might totalthousands ofpatients, they'reindividually toosmall“There's noevidence that”(there's plenty ofit but also somenegativestudies)This researcherwas interviewedby atabloid/Russianmedia/right wingmedia...(pretendsnothinghappened)Meta-analyses canbe biased,except mineCorrelationdoes notequalcausationEroding thetrust ininstitutionsmight causecountlessdeathsMoreresearchisnecessarySo youbelievethere's aconspiracy?(What I believeto be)extraordinaryclaims requireextraordinaryevidenceTrust thescience!(No, notthis one)This researchermight be one ofthe most quoted ofhis/her field,(s)he's stillmarginalThisresearcherhas politicalopinionsSome similarresearch wasfraudulent sothis one istooThesethousands ofreports areanecdotalIf I exclude 90%of the trialsbased on myown criteria, theevidence isinsufficientSome similarresearch wasfraudulent and Iwon't run therisk of beingfooledThe researchermight be one ofthe mostexperienced ofhis/her field, but(s)he clearly isgetting senileThis newthing mightdrive peopleaway fromthat old thingThisresearcher ismentioned innaturalhealth blogsResearch hasshown it's untrue(shows researchthat has notshown it'suntrue)LOLWhere isthe 2billiondollar trial?Theuneducatedmasses believethis so it mustbe wrongThese dozens ofstudies might totalthousands ofpatients, they'reindividually toosmall“There's noevidence that”(there's plenty ofit but also somenegativestudies)This researcherwas interviewedby atabloid/Russianmedia/right wingmedia...(pretendsnothinghappened)Meta-analyses canbe biased,except mineCorrelationdoes notequalcausationEroding thetrust ininstitutionsmight causecountlessdeathsMoreresearchisnecessarySo youbelievethere's aconspiracy?(What I believeto be)extraordinaryclaims requireextraordinaryevidenceTrust thescience!(No, notthis one)This researchermight be one ofthe most quoted ofhis/her field,(s)he's stillmarginalThisresearcherhas politicalopinionsSome similarresearch wasfraudulent sothis one istoo

FACT CHECKER'S - 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. These thousands of reports are anecdotal
  2. If I exclude 90% of the trials based on my own criteria, the evidence is insufficient
  3. Some similar research was fraudulent and I won't run the risk of being fooled
  4. The researcher might be one of the most experienced of his/her field, but (s)he clearly is getting senile
  5. This new thing might drive people away from that old thing
  6. This researcher is mentioned in natural health blogs
  7. Research has shown it's untrue (shows research that has not shown it's untrue)
  8. LOL
  9. Where is the 2 billion dollar trial?
  10. The uneducated masses believe this so it must be wrong
  11. These dozens of studies might total thousands of patients, they're individually too small
  12. “There's no evidence that” (there's plenty of it but also some negative studies)
  13. This researcher was interviewed by a tabloid/Russian media/right wing media
  14. ... (pretends nothing happened)
  15. Meta-analyses can be biased, except mine
  16. Correlation does not equal causation
  17. Eroding the trust in institutions might cause countless deaths
  18. More research is necessary
  19. So you believe there's a conspiracy?
  20. (What I believe to be) extraordinary claims require extraordinary evidence
  21. Trust the science! (No, not this one)
  22. This researcher might be one of the most quoted of his/her field, (s)he's still marginal
  23. This researcher has political opinions
  24. Some similar research was fraudulent so this one is too