TRUE SCIENCE STORIES · B2 · 50 min

The Poker Player Who Taught Us to Think in Bets

A coach makes "the worst call in Super Bowl history". A psychologist turned poker champion says everyone judged it wrongly, and shows why good decisions and good results are not the same thing.

Today: you'll follow Annie Duke from a psychology lab to the poker table, and learn the big idea of her book Thinking in Bets. By the end, you'll be able to judge a decision fairly, and say exactly how sure you are with the language of probability.
Before we start. Let's see what comes to mind. There are no wrong answers here.
Discuss:
  • Think of a decision that turned out badly. Was it a bad decision, or just bad luck? How can you tell the difference?
  • Some people say "Everything happens for a reason." Others say "A lot of life is luck." Which is closer to what you think?
  • Which games are mostly skill, which are mostly luck, and which are a mix? Think of chess, poker, football, the lottery.

The vocabulary of this story

Ten words. Work through the four activities. Say your answer out loud before you reveal it.

A · What do they mean here? Work it out from the context

1. She studied, slept well and arrived early, but she was ill on the day of the exam and failed. Her preparation was perfect. The outcome was not.
an outcome (n) — the result of an action or a situation. A good / bad / likely outcome.
2. After the game, everyone said the coach's mistake was obvious. But nobody said so before the game. It's easy to be clever with hindsight.
hindsight (n) — understanding a situation only after it has happened. With hindsight, in hindsight.
3. The team lost, so the fans needed someone to blame. They chose the coach.
to blame (v) — to say that someone is responsible for something bad. To blame someone for something; to take the blame.

B · Which word means…?

Three words: luck · the odds · uncertainty. Say the right one, then reveal.

1. Which word means not knowing what will happen?
uncertainty (n) — adjective: uncertain. The whole book is about deciding well under uncertainty.
2. Which word means things that happen by chance, good or bad, that you can't control?
luck (n) — good luck, bad luck, pure luck, a stroke of luck. Adjective: lucky.
3. Which phrase means how probable it is that something will happen?
the odds (plural n) — the odds are good; the odds are against us; against all odds.

C · Choose the meaning — a / b / c

1. He put all his savings into one company he knew almost nothing about. It was a huge gamble. Gamble means…
  (a) a careful plan   (b) a risky action that could win or lose a lot   (c) a mistake you regret
(b) — a gamble (n), to gamble (v). To take a gamble; the gamble paid off.
2. "Are you sure?" "Well, I'm about 60% sure." She wasn't completely confident. Confident means…
  (a) worried   (b) honest   (c) feeling certain that something is true or will happen
(c) — confident (adj), confidence (n). How confident are you? I'm fairly confident that…

D · Word building & collocation

1. You know the verb predict. Build the family: the noun: a ___ · easy to predict: ___ · impossible to predict: ___.
prediction · predictable · unpredictable. Poker, and life, are unpredictable.
2. One word completes all three: to place a ___ on a horse · it's a safe ___ = it will almost certainly happen · "I ___ you can't eat ten doughnuts!"
bet — noun and verb. It's irregular: bet – bet – bet. "I bet…" is also an everyday way to say "I'm sure…".

Now use them — out loud

Before we read:
  • Using outcome, luck and hindsight, guess why a poker player might have something to teach doctors, business leaders and sports coaches.
  • Is getting married a gamble? Is choosing a job? Why, or why not?

The story, in three parts

Read each part. After it, there's a quick check (answer from memory first), then one question to discuss.

Part 1 — The worst call in history?

It is 1 February 2015, and this is the Super Bowl, the biggest game in American football. More than 100 million people are watching on TV. The Seattle Seahawks are losing 28–24 to the New England Patriots. But Seattle has the ball, just one yard from scoring. There are 26 seconds left.

Almost everyone expects Seattle to run with the ball. They have one of the strongest runners in the game, Marshawn Lynch. Instead, the coach, Pete Carroll, calls a pass. The quarterback throws. The ball is caught, but by a New England player. The game is over. Seattle has lost.

The reaction was brutal. Newspapers, TV experts and angry fans all said the same thing: it was the worst decision in Super Bowl history. For weeks, Carroll was one of the most criticised men in America.

But one person watching disagreed. Her name was Annie Duke, and for almost twenty years she had made difficult decisions for a living, with real money on the table.

Quick check — from memory, then reveal:

1. What was the situation with 26 seconds left?

2. What did Pete Carroll decide, and what happened?

1. Seattle were losing 28–24, but they had the ball one yard from scoring. A score would win them the Super Bowl.

2. He called a pass instead of a run. A New England player caught the ball, and Seattle lost.

Discuss:
  • Before you read on: was it a bad decision? What would you need to know before you could say?

Part 2 — From the lab to the poker table

Annie Lederer was born in 1965 in New Hampshire, in the United States. Her father taught English and wrote popular books about language. She studied English and psychology at Columbia University. Then she started a PhD in cognitive psychology at the University of Pennsylvania. That's the science of how people think, learn and make decisions.

She was close to finishing when she became seriously ill. She left the university and moved to Montana with her husband, and money was short. Her older brother, Howard, was a professional poker player. He suggested that she try poker. Soon she was playing in a bar in the town of Billings, and winning.

She quickly realised that poker was a real-life laboratory for everything she had studied. Every hand is a decision made without all the facts. You can't see the other players' cards. You can play perfectly and still lose. You can play badly and still win. The good players are not the ones who win every hand. They're the ones who make good bets again and again, and accept that luck decides the rest.

She became one of the best players in the world, in a game where almost all the top players were men. In 2004 she won the World Series of Poker Tournament of Champions and a prize of two million dollars. In 2012 she left professional poker, and started teaching people how to make better decisions.

Quick check — from memory, then reveal:

1. What did Annie study, and why did she leave university?

2. Why was poker a "real-life laboratory" for her?

1. English and psychology, then a PhD in cognitive psychology. She became seriously ill shortly before finishing it.

2. Every hand is a decision without all the facts: hidden cards, and luck. So it was a perfect place to see how people decide under uncertainty.

Discuss:
  • "The good players are not the ones who win every hand." What does it mean to be "good" at something that includes luck, like investing, farming or medicine?

Part 3 — Thinking in bets

In 2018 she published her book, Thinking in Bets. It begins with Pete Carroll's pass. Her argument is that the call was not nearly as bad as people said. Over many seasons, passes thrown from one yard out were almost never caught by the other team, only about 2% of the time. A pass that fails also stops the clock, so Seattle would still have had time for two more tries. If a Seattle player had caught that ball, the same newspapers would have called Carroll a genius. Same decision, different luck.

Duke has a name for judging a decision only by its result: resulting. We all do it. A friend drives home after drinking, arrives safely, and decides it was fine. A company makes a careless choice, gets lucky, and calls it strategy. A doctor makes a careful choice, the patient dies anyway, and the doctor blames herself.

Her solution is to treat every decision as a bet on an uncertain future. The mathematician John von Neumann, who invented game theory, said that real life is more like poker than chess. In chess you can see everything. In poker, and in life, some information is always hidden, and luck always plays a part. So instead of asking "Did it work?", we should ask better questions. What did I know at the time? How sure was I? What could I have learned before deciding? And was the result mostly skill, or mostly luck?

Five ideas from the book. Read each idea. Can you think of an example from real life? Say it, then reveal one.

1
Resulting
Don't judge a decision only by its result.Good decisions can end badly. Bad decisions can end well.
You leave early for the airport, but a crash closes the road and you miss the flight.
2
Poker, not chess
You never see all the cards.Some information is always hidden, and luck always plays a part.
Choosing a job: you can't know your future boss or how the company will do.
3
"Wanna bet?"
Would you bet money on it?Imagining a bet makes you check how sure you really are.
"This restaurant is the best in town." "Would you bet €100 on that?" "Well… maybe not."
4
How sure?
Say how confident you are.Not just "yes" or "no", but "about 70%" or "fairly likely".
A weather forecast: "a 30% chance of rain" is more useful than "it won't rain".
5
Honest friends
Find people who judge your decisions, not your results.A group that tells you the truth, even when you win.
After a win, a colleague says: "Great result, but I think we got lucky. Let's look at why."
Quick check — from memory, then reveal:

1. Give two reasons why Duke thinks the pass was not a terrible decision.

2. What is "resulting"? Give one example from the story.

1. Passes from one yard out were very rarely caught by the other team (about 2%), and a failed pass stops the clock, which left time for two more tries.

2. Judging a decision only by its result. Examples: the driver who got home safely after drinking; the lucky company; the doctor who blames herself; the fans judging Carroll.

Discuss:
  • Why do you think people find it so hard to accept that luck played a part, both when they win and when they lose?

Grammar — talking about probability

Duke's advice is simple: don't just say "yes" or "no" about the future. Say how sure you are. English has a whole scale of phrases for this.

The probability scale:
• ~100%: will definitely · is bound to · is certain to — "The shop is bound to be busy on Saturday."
• ~75%: will probably · is likely to · there's a good chance (that) — "The train is likely to be late."
• ~50%: may · might · could — "The meeting might finish early."
• ~25%: probably won't · is unlikely to · there isn't much chance (that) — "The price is unlikely to fall."
• ~0%: definitely won't · there's no chance (that) — "There's no chance that he'll say sorry."
Watch the word order:
• probably and definitely go after will but before won't: "She'll probably call." · "She probably won't call."
• likely is an adjective, so use be: "He is likely to win", or "It's likely that he'll win." (He will likely win is common in American English.)
• bound and certain also need be + to: "We're bound to see them."

1. Choose the phrase that matches the number

Each sentence shows how sure the speaker is. Choose the phrase in brackets that matches it and write it in the gap.

1. (95%) She's trained for years, and her opponents are all beginners. She win. (is bound to / might / is unlikely to)

2. (20%) Our best player is injured. We win on Saturday. (will probably / are unlikely to / are certain to)

3. (50%) The sky is grey, but the forecast is good. It rain later. (will definitely / is bound to / might)

4. (75%) The first film made millions. The second one be a hit too. (is likely to / definitely won't / might not)

1. is bound to   2. are unlikely to   3. might   4. is likely to

2. Same idea, different words

Rewrite each idea using the word in brackets. Write only the missing words.

1. "I'm 75% sure he'll accept the job." → He accept the job. (likely)

2. "I don't think they'll run with the ball." → They run with the ball. (probably)

3. "It's almost certain that prices will go up." → Prices go up. (bound)

1. is likely to   2. probably won't   3. are bound to

Check the machinery: be + likely/bound + to; probably before won't.

3. At the poker table — complete the paragraph

Use the words in brackets to fill each gap, then read the whole text aloud.

Before every hand, a good player asks: how sure am I? "My cards are strong, so I (likely) win this hand. I'd say 70%. The player opposite (unlikely) have anything better, but you never know. There's (good / chance) he's bluffing, because he's done it three times tonight. One thing is certain: if I bet everything on every hand, I (bound) lose in the end." And if she loses this hand? A bad result (not / necessarily) mean a bad decision.

am likely to · is unlikely to · a good chance (that) · am bound to · doesn't necessarily

That last sentence is the whole book in six words.

Take the probability scale into the Speak tab. You'll be making predictions, and saying exactly how sure you are.

Going deeper

A diagram with two axes, Decision (good/bad) and Result (good/bad), making four boxes: good decision + good result = Well Played, bad decision + good result = Just Lucky, good decision + bad result = Bad Luck, bad decision + bad result = Deserved It.

Good decision or good luck?

Duke says every result comes from two things: the quality of the decision, and luck. For each person, decide: good or bad decision? good or bad result? Say it, then reveal.

1. He drives home after four beers. He gets home safely.
Bad decision, good result. He was lucky. The result doesn't make the decision safe.
2. She checks the traffic and leaves an hour early for her interview. A lorry crashes ahead of her, and she arrives late.
Good decision, bad result. Bad luck, not a bad choice.
3. A driver is wearing a seatbelt when another car hits him. He walks away unhurt.
Good decision, good result. The decision really did help here.
4. He puts all his savings into a friend's new company without reading the business plan. Five years later, the company is worth millions.
Bad decision, good result. It paid off, but he couldn't have known. "Resulting" would call him a genius.
5. She prepares carefully for an exam for three months, then gets flu the night before and fails.
Good decision, bad result. Her preparation was right. The flu was luck.
6. He runs a red light because he's late, and hits a cyclist.
Bad decision, bad result. Here the result and the decision match.
What the story teaches. First, results are a bad teacher when there's luck involved. If we learn only from results, we learn the wrong lessons: we repeat lucky mistakes and stop doing good things that happened to fail.

Second, saying how sure you are is a skill. People who say "maybe 60%" instead of "definitely" make fewer big mistakes, change their minds more easily, and argue less. Forecasters, doctors and investors all train this skill.

Third, the idea has limits. Critics point out that a poker player plays thousands of hands, so luck evens out over time. In real life, we make most big decisions only once or twice: a career, a marriage, a house. Then it's much harder to know if we were skilful or just lucky. And sometimes "it was just bad luck" can become an excuse for a bad decision.
Talk it through:
  • Think of a job where people are often judged by results they can't fully control: a football manager, a surgeon, a CEO, a teacher. Is that fair? How should they be judged?
  • "It was just bad luck." When is this an honest explanation, and when is it an excuse?
  • Explain "resulting" in one minute, in your own words, as if to a 12-year-old. Then invent a new example.
  • Series thread: Alexander Fleming found penicillin because he left a dirty dish in his lab. Was it a good decision, good luck, or both?

Speak

All of it out loud, against the clock. Use the key words, the five ideas, and the probability scale.

Useful language: it was a good decision with a bad outcome · he was just lucky · with hindsight… · I'm about 70% sure · it's likely to… · it's bound to… · there's a good chance that… · I wouldn't bet on it
Time remaining: 4:00
Task A · Defend the coach (4 minutes)

Tell the story: the Super Bowl pass → the headlines → Annie's path from psychology to poker → the book → resulting → the five ideas.

Then be Pete Carroll at a press conference. Defend your decision using Duke's arguments. Use at least five key words (outcome, hindsight, blame, luck, the odds, uncertainty, gamble, confident, predict, bet).

Task B · Wanna bet? (4 minutes)

Make five predictions about the next twelve months: in the news, in sport, in technology, or in your town. Give each one a number. How sure are you, and would you bet on it?

Task C · Decision or luck? (4 minutes)

Think of a decision that turned out well or badly. Separate the two parts: how good was the decision itself, and how much was luck?

Prefer something less personal? Take one of these:

  • A famous decision from history, sport or business: was it skill or luck?
  • Is choosing a university more like chess or more like poker?
  • Be a football fan who is sure Carroll was wrong. Argue with someone who has read the book.

To finish — the harder questions

  1. Should we judge politicians by their decisions or by their results? What problems does each choice cause?
  2. If you knew exactly how much of your success was luck, would you feel better or worse about it?
  3. Would the world be better if everyone said "I'm 70% sure" instead of "I'm right"? What would we lose?
  4. Before you go — from memory: explain resulting, and name three more ideas from the book. Then make three predictions about tomorrow, one with bound to, one with likely to and one with probably won't.
  5. What helped you understand the idea best today: the Super Bowl story, the six people, or explaining it aloud?

I can… explain the difference between a good decision and a good result, and say how sure I am with the language of probability.