Early statsig liftdisappearsErrorloading apackageGlenncomes backas Presidentand COOSimpson’sparadoxspotted inthe wildCustomercomplainsabout StoryFindergitdisasterBug in testedfeaturediscoveredafter testlaunchMake thisdatanormalpleaseStakeholderasks if wecan end atest earlyModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority classKerneldied andneeds torestartSudden uptickinsubscriptions-guess why?Ask analyticsfor a metricand get agoogle sheetwith >10 tabspipenvissueLinear/logisticregressionperformedbestAccidentallyduplicaterows in ajointest cells showconflictingresults (winson one metric,loses on other)ViolatingstatisticalassumptionsWeatherstoriestake overRFYDramawithFestival ofBooksSHAPvaluesmakesenseSRMOutlier(s)in yourdataModeloverfitsthe dataEarly statsig liftdisappearsErrorloading apackageGlenncomes backas Presidentand COOSimpson’sparadoxspotted inthe wildCustomercomplainsabout StoryFindergitdisasterBug in testedfeaturediscoveredafter testlaunchMake thisdatanormalpleaseStakeholderasks if wecan end atest earlyModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority classKerneldied andneeds torestartSudden uptickinsubscriptions-guess why?Ask analyticsfor a metricand get agoogle sheetwith >10 tabspipenvissueLinear/logisticregressionperformedbestAccidentallyduplicaterows in ajointest cells showconflictingresults (winson one metric,loses on other)ViolatingstatisticalassumptionsWeatherstoriestake overRFYDramawithFestival ofBooksSHAPvaluesmakesenseSRMOutlier(s)in yourdataModeloverfitsthe data

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