~/talk

What poker can teach us about post-mortems

Talkat RubyConf 2018 · 2018-11-28..11-30· [devops-and-delivery, soft-skills]
slides:none on file

Argument: post-mortems often mistake unlucky outcomes for bad decisions; variance means you can do everything right and still lose. Poker specifics show how to judge bets: a $3 call into a $7 pot with 8 outs is 8/46 ≈ 17.9% so EV = $2.33 < $3, fold; the coin game yields $2.50 EV per play. Tools for review include Equilab and PokerStove. Real build example: a consumer-phone monitoring wall that produced false alarms gets decommissioned then later might have mitigated an outage — it informed whether the original choice actually worked.

AI-written summary · about

  1. 0:00Intro
  2. 0:16WHAT POKER CAN TEACH US ABOUT POST-MORTEMS CORY CHAMBLIN
  3. 6:27HOW TO BE GOOD AT POKER
  4. 6:58MAKING GOOD BETS
  5. 11:41EXPECTED VALUE (EV)
  6. 16:48POST MORTEM OF A POKER HAND
  7. 20:57RESULTS ORIENTED THINKING
  8. 24:43Data, you're being results- oriented. — Picard (not really)
  9. 27:13QUESTIONS FOR MORE EFFECTIVE POST-MORTEMS
  10. 27:36SHOULD WE HAVE PREVENTED THIS?
  11. 28:16SHOULD WE PREVENT THIS IN THE FUTURE?
  12. 29:53DID WE UNDERSTAND THIS RISK UP-FRONT?
  13. 30:45HOW SHOULD OUR DECISION MAKING CHANGE IN THE FUTURE?
  14. 32:02POST- MORTEMS
  15. 33:00FAILURE
  16. 33:20IN THE LONG RUN, ONLY THE LONG RUN MATTERS
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