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Thinking in Bets, in bytes

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.

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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.

23 learnings · ~40 sec eachSwipe →
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Learning 1 · Introduction

The Worst Call in Super Bowl History?

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.

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Learning 2 · Chapter 1

Life Is Poker, Not Chess

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.

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Learning 3 · Chapter 1

Beware Resulting

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.

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Learning 4 · Chapter 1

Decision Quality vs Outcome Quality

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?

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Learning 5 · Chapter 1

Say “I'm Not Sure”

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.

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Learning 6 · Chapter 2

Every Decision Is a Bet

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.

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Learning 7 · Chapter 2

We Believe What We Hear

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.

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Learning 8 · Chapter 2

Smart People Aren't Immune

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.

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Learning 9 · Chapter 2

Wanna Bet?

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.

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Learning 10 · Chapter 3

Luck vs Skill

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.

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Learning 11 · Chapter 3

Self-Serving Bias

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.

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Learning 12 · Chapter 3

Learn from Others' Outcomes

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.

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Learning 13 · Chapter 3

Build Good Habits of Mind

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.

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Learning 14 · Chapter 4

Find a Truth-Seeking Group

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.

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Learning 15 · Chapter 5

CUDOS Norms

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.

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Learning 16 · Chapter 5

Judge the Message, Not the Messenger

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.

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Learning 17 · Chapter 6

Mental Time Travel

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.

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Learning 18 · Chapter 6

Watch for Tilt

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.

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Learning 19 · Chapter 6

Ulysses Contracts

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.

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Learning 20 · Chapter 6

The Decision Swear Jar

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.

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Learning 21 · Chapter 6

Backcasting

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.

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Learning 22 · Chapter 6

Premortems

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.

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Learning 23 · Chapter 6

Decide Well, Then Let Go

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.

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All 23 learnings complete

That’s all 23 learnings.

Good decisions can have bad outcomes. Which recent decision would you judge differently now?

Abhay Kumar JaiswalFCA · PMP® · Workday Financeabhayjaiswal.com
Summaries in my own words. Read the book for the full stories.
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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