All 23 learnings · one per slide
Thinking
in Bets
Annie Duke, in bytes
23 key learnings from a former poker champion on making smarter decisions when you can’t know everything.
Library / Mind & Psychology / Thinking in Bets
23 key learnings from Annie Duke’s book on treating decisions as bets: separating decision quality from luck, and learning faster from outcomes. Each takes about 40 seconds to read. Swipe, use the arrows, or your keyboard.
All 23 learnings · one per slide
Annie Duke, in bytes
23 key learnings from a former poker champion on making smarter decisions when you can’t know everything.
Learning 1 · Introduction
The story
In Super Bowl XLIX, Pete Carroll called a pass near the goal line. It was intercepted, and he was savaged. Duke argues the decision was reasonable; the outcome was unlucky.
Spot it
Judging a call only by how it turned out.
Takeaway
Separate the quality of a decision from its result.
Learning 2 · Chapter 1
The idea
Chess has little hidden information or luck; poker has both. Real decisions are more like poker: we act with incomplete information, and luck affects outcomes.
Example
A sound investment can lose money because of an unexpected market event.
Takeaway
Accept that you're making decisions under uncertainty.
Learning 3 · Chapter 1
The idea
Resulting is judging a decision by its outcome. Duke cites a much-criticised Super Bowl call: a pass that was intercepted, though the decision had a reasonable rationale.
Example
Praising a reckless gamble that happened to work encourages more reckless gambles.
Try this
Judge decisions by the thinking, not just the result.
Learning 4 · Chapter 1
The idea
A good decision can lead to a bad outcome, and a bad decision can lead to a good one. Learning means separating the two.
Example
Driving home drunk without an accident doesn't make it a good decision.
Try this
Ask: given what I knew, was it a sound decision?
Learning 5 · Chapter 1
The idea
Admitting uncertainty is a strength. Expressing confidence levels makes you more accurate and more open to learning.
Example
“I'm about 70% sure this design will work” invites useful input.
Try this
Express beliefs with a confidence level, not as certainties.
Learning 6 · Chapter 2
The idea
Every choice is a bet on a future outcome, with resources like time and money at stake. Seeing it this way clarifies risks.
Example
Accepting a job offer is a bet that it's better than the alternatives.
Try this
Ask what you're betting on, and what you could lose.
Learning 7 · Chapter 2
The idea
We tend to believe things we hear without checking them, then defend those beliefs.
Example
A rumour about a company's finances spreads and becomes accepted as fact.
Try this
Treat beliefs as hypotheses to test.
Learning 8 · Chapter 2
The idea
Being smart doesn't protect you from motivated reasoning. Duke cites research suggesting smarter people can be better at justifying what they already believe.
Takeaway
The more confident and clever you are, the more you need others to challenge you.
Learning 9 · Chapter 2
The idea
Asking “Would you bet on that?” makes people examine their confidence and evidence.
Example
A colleague sure of a deadline becomes less certain when asked if they'd bet on it.
Takeaway
Test your beliefs by imagining a bet on them.
Learning 10 · Chapter 3
The idea
When things go well, we credit skill; when they go badly, we blame luck. This self-serving bias blocks learning.
Example
After a successful pitch, we rarely ask how much luck played a part.
Takeaway
Examine your wins as carefully as your losses.
Learning 11 · Chapter 3
The idea
We credit our wins to skill and blame our losses on luck, and do the opposite for other people.
Try this
After your next win, list what luck contributed. After a loss, list what you could have done better.
Learning 12 · Chapter 3
The idea
We judge others' successes as luck and their failures as poor skill, the reverse of how we judge ourselves.
Example
A competitor's win gets dismissed as luck, so we miss lessons from it.
Takeaway
Apply the same standards to yourself and others.
Learning 13 · Chapter 3
The idea
Duke recommends a habit of asking what really caused each outcome, rather than reaching for a comfortable explanation.
Example
After each project, a team reviews what was luck and what was skill.
Try this
Make post-decision reviews a routine.
Learning 14 · Chapter 4
The idea
A group committed to accuracy, open-mindedness and accountability can help you see your blind spots.
Example
A mentor group that challenges your thinking catches errors you'd miss alone.
Try this
Find people who will tell you the truth, kindly.
Learning 15 · Chapter 5
The idea
Duke adapts sociologist Robert Merton's norms for science: communism (share data), universalism (judge ideas, not people), disinterestedness (watch for conflicts of interest) and organised scepticism.
Example
A team that shares all relevant data and debates ideas, not personalities, decides better.
Try this
Set group norms for sharing, fairness and healthy scepticism.
Learning 16 · Chapter 5
The idea
We tend to accept ideas from people we like and reject those from people we don't. Universalism means judging ideas on their merits.
Example
A good idea from a junior colleague gets ignored because of who suggested it.
Takeaway
Evaluate the idea, whoever said it.
Learning 17 · Chapter 6
The idea
Imagine your future self looking back on a decision. Duke cites Suzy Welch's 10-10-10 approach: how will I feel in ten minutes, ten months and ten years?
Example
An angry reply feels good in ten minutes, and terrible in ten months.
Try this
Ask how your future self will see this decision.
Learning 18 · Chapter 6
The idea
Poker players call it tilt: making emotional, reckless decisions after a bad outcome.
Spot it
After a painful loss, you want to win it back immediately.
Takeaway
After a bad result, pause before your next big decision.
Learning 19 · Chapter 6
The idea
Like Ulysses tied to the mast to resist the Sirens, precommit to decisions before temptation strikes.
Example
Setting automatic savings prevents impulse spending later.
Try this
Make commitments in advance to protect your future self.
Learning 20 · Chapter 6
The idea
Name the phrases that signal bad thinking, like “I knew it”, “I'm sure” or “that's just bad luck”, and agree to call them out.
Try this
Pick three warning phrases with your team, and flag them whenever they appear.
Learning 21 · Chapter 6
The idea
Imagine you've succeeded, then work backwards to figure out how you got there.
Example
Picturing a successful go-live helps identify the steps needed to reach it.
Try this
Start from success, and plan backwards.
Learning 22 · Chapter 6
The idea
Imagine you've failed, and list why. This surfaces risks optimism hides.
Example
Before a launch, a team lists reasons it might fail, and prepares for each.
Try this
Imagine failure, then prevent it.
Learning 23 · Chapter 6
The idea
After a well-made decision, accept that luck will play a part. Don't let one bad outcome make you abandon a good strategy.
Example
A sound investment strategy shouldn't be dropped after one bad year.
Takeaway
Focus on making good decisions over time, not on single outcomes.
All 23 learnings complete
Good decisions can have bad outcomes. Which recent decision would you judge differently now?
Summaries are written in my own words for learning. Read Thinking in Bets by Annie Duke (2018) for the full stories. More Books in Bytes