Weatherstoriestake overRFYBug in testedfeaturediscoveredafter testlaunchModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority classKerneldied andneeds torestartGlenncomes backas Presidentand COOModeloverfitsthe dataAccidentallyduplicaterows in ajoinStakeholderasks if wecan end atest earlypipenvissuegitdisasterViolatingstatisticalassumptionsErrorloading apackageSudden uptickinsubscriptions-guess why?Make thisdatanormalpleaseDramawithFestival ofBooksCustomercomplainsabout StoryFinderLinear/logisticregressionperformedbestSHAPvaluesmakesensetest cells showconflictingresults (winson one metric,loses on other)Early statsig liftdisappearsSimpson’sparadoxspotted inthe wildOutlier(s)in yourdataAsk analyticsfor a metricand get agoogle sheetwith >10 tabsSRMWeatherstoriestake overRFYBug in testedfeaturediscoveredafter testlaunchModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority classKerneldied andneeds torestartGlenncomes backas Presidentand COOModeloverfitsthe dataAccidentallyduplicaterows in ajoinStakeholderasks if wecan end atest earlypipenvissuegitdisasterViolatingstatisticalassumptionsErrorloading apackageSudden uptickinsubscriptions-guess why?Make thisdatanormalpleaseDramawithFestival ofBooksCustomercomplainsabout StoryFinderLinear/logisticregressionperformedbestSHAPvaluesmakesensetest cells showconflictingresults (winson one metric,loses on other)Early statsig liftdisappearsSimpson’sparadoxspotted inthe wildOutlier(s)in yourdataAsk analyticsfor a metricand get agoogle sheetwith >10 tabsSRM

Untitled 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. Weather stories take over RFY
  2. Bug in tested feature discovered after test launch
  3. Model accuracy is suspiciously high - turns out it’s just predicting the majority class
  4. Kernel died and needs to restart
  5. Glenn comes back as President and COO
  6. Model overfits the data
  7. Accidentally duplicate rows in a join
  8. Stakeholder asks if we can end a test early
  9. pipenv issue
  10. git disaster
  11. Violating statistical assumptions
  12. Error loading a package
  13. Sudden uptick in subscriptions- guess why?
  14. Make this data normal please
  15. Drama with Festival of Books
  16. Customer complains about Story Finder
  17. Linear/logistic regression performed best
  18. SHAP values make sense
  19. test cells show conflicting results (wins on one metric, loses on other)
  20. Early stat sig lift disappears
  21. Simpson’s paradox spotted in the wild
  22. Outlier(s) in your data
  23. Ask analytics for a metric and get a google sheet with >10 tabs
  24. SRM