MeasurementerrorMeasurementerrorObserverbiasTypeII errorPrecisionEstimationOverestimationPhantomconfounderPotionof biasSelectionbiasInternalvalidityPowerDifferentialmisclassificationAttritionbiasTypeI errorUnderestimationRecallbiasSystematicerrorHypothesistestingP-valueConfoundingDetectionbiasMisclassificationAlternativehypothesisWitchyp-valueReportingbiasInformationbiasValidityHealthyworkereffectFalsepositiveSelectionbiasDifferentialmisclassificationCursedcontrolgroupConfidenceintervalSamplingerrorConfidenceintervalInformationbiasSystematicerrorInterviewerbiasPublicationbiasP-valueRecallbiasRandomizationReportingbiasConfoundingPrecisionPublicationbiasHauntedsamplesizeBlindingSpookysignificanceObserverbiasRandomerrorMisclassificationInternalvalidityAttritionbiasBlindingTypeI errorTypeII errorReliabilityNon-differentialmisclassificationGhost ofrandomerrorRandomerrorNullhypothesisExternalvalidityRandomizationNon-differentialmisclassificationAccuracyBiologicalvariationExternalvalidityLoss tofollow-upSamplingerrorAccuracyFalsenegativeMeasurementerrorMeasurementerrorObserverbiasTypeII errorPrecisionEstimationOverestimationPhantomconfounderPotionof biasSelectionbiasInternalvalidityPowerDifferentialmisclassificationAttritionbiasTypeI errorUnderestimationRecallbiasSystematicerrorHypothesistestingP-valueConfoundingDetectionbiasMisclassificationAlternativehypothesisWitchyp-valueReportingbiasInformationbiasValidityHealthyworkereffectFalsepositiveSelectionbiasDifferentialmisclassificationCursedcontrolgroupConfidenceintervalSamplingerrorConfidenceintervalInformationbiasSystematicerrorInterviewerbiasPublicationbiasP-valueRecallbiasRandomizationReportingbiasConfoundingPrecisionPublicationbiasHauntedsamplesizeBlindingSpookysignificanceObserverbiasRandomerrorMisclassificationInternalvalidityAttritionbiasBlindingTypeI errorTypeII errorReliabilityNon-differentialmisclassificationGhost ofrandomerrorRandomerrorNullhypothesisExternalvalidityRandomizationNon-differentialmisclassificationAccuracyBiologicalvariationExternalvalidityLoss tofollow-upSamplingerrorAccuracyFalsenegative

Haunted by Bias: Epidemiology 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. Measurement error
  2. Measurement error
  3. Observer bias
  4. Type II error
  5. Precision
  6. Estimation
  7. Overestimation
  8. Phantom confounder
  9. Potion of bias
  10. Selection bias
  11. Internal validity
  12. Power
  13. Differential misclassification
  14. Attrition bias
  15. Type I error
  16. Underestimation
  17. Recall bias
  18. Systematic error
  19. Hypothesis testing
  20. P-value
  21. Confounding
  22. Detection bias
  23. Misclassification
  24. Alternative hypothesis
  25. Witchy p-value
  26. Reporting bias
  27. Information bias
  28. Validity
  29. Healthy worker effect
  30. False positive
  31. Selection bias
  32. Differential misclassification
  33. Cursed control group
  34. Confidence interval
  35. Sampling error
  36. Confidence interval
  37. Information bias
  38. Systematic error
  39. Interviewer bias
  40. Publication bias
  41. P-value
  42. Recall bias
  43. Randomization
  44. Reporting bias
  45. Confounding
  46. Precision
  47. Publication bias
  48. Haunted sample size
  49. Blinding
  50. Spooky significance
  51. Observer bias
  52. Random error
  53. Misclassification
  54. Internal validity
  55. Attrition bias
  56. Blinding
  57. Type I error
  58. Type II error
  59. Reliability
  60. Non-differential misclassification
  61. Ghost of random error
  62. Random error
  63. Null hypothesis
  64. External validity
  65. Randomization
  66. Non-differential misclassification
  67. Accuracy
  68. Biological variation
  69. External validity
  70. Loss to follow-up
  71. Sampling error
  72. Accuracy
  73. False negative