What is *Thinking in Bets* by Annie Duke about?

*Thinking in Bets* explores decision-making strategies under uncertainty, drawing parallels between poker and real-life choices. Annie Duke, a former professional poker player, argues that life involves calculated risks where incomplete information and luck play roles. The book provides frameworks like separating outcomes from decisions, using probabilistic thinking, and leveraging group feedback to improve accuracy. Key themes include embracing uncertainty, avoiding hindsight bias, and adopting a "truth-seeking" mindset.

Who should read *Thinking in Bets*?

Professionals, leaders, entrepreneurs, and anyone making high-stakes decisions will benefit from this book. It’s particularly relevant for investors, business strategists, and individuals seeking to reduce cognitive biases. Duke’s insights appeal to readers interested in behavioral psychology, risk management, or improving long-term decision quality.

Is *Thinking in Bets* worth reading?

Yes—it’s a national bestseller praised for its actionable advice and real-world examples. Endorsed by thought leaders like Charles Duhigg, the book combines poker anecdotes with research to teach systematic decision-making. Its focus on probabilistic thinking and resilience against bad outcomes makes it valuable for personal and professional growth.

How does *Thinking in Bets* compare decision-making to poker?

Duke likens decision-making to poker, where uncertainty, hidden information, and luck dictate outcomes. Just as poker players bet based on probabilities, individuals must weigh odds in real-life choices. This analogy highlights why even good decisions can fail and emphasizes refining process over fixating on results.

What is the 10-10-10 method in *Thinking in Bets*?

This tool involves evaluating decisions by projecting their impact in 10 minutes, 10 months, and 10 years. It reduces short-term emotional bias by forcing a long-term perspective. For example, a career change might feel daunting immediately but manageable over a decade, helping clarify priorities.

What are Ulysses pacts in *Thinking in Bets*?

Ulysses pacts are precommitment strategies to avoid impulsive decisions. Named after the Greek myth, they involve setting rules in advance (e.g., limiting budget decisions during stress). Duke suggests using these to counter biases like tilt in poker or reactive emotions in business.

How does *Thinking in Bets* recommend improving group decisions?

Duke advocates forming diverse "truth-seeking" groups to challenge assumptions. By fostering open dialogue (e.g., betting markets or peer reviews), teams reduce individual blind spots. For example, Google uses internal prediction markets to crowdsource accurate forecasts.

What does "all decisions are bets" mean in *Thinking in Bets*?

This quote underscores that every choice involves wagering on uncertain outcomes. Duke argues framing decisions as bets encourages humility, probabilistic thinking, and accountability. For instance, investing in a startup is a bet on its potential, not a guaranteed success.

对赌思维

在信息不全的情况下做出更明智的决策

安妮·杜克

3.82(22073 Reviews)

《对赌思维》概述

前扑克冠军安妮·杜克（Annie Duke）揭示了如何通过将决策视为博弈来掌控不确定性。这本书被《华尔街日报》的杰森·茨威格（Jason Zweig）赞誉为“杰作”，它向你发起挑战，问你：“想赌一把吗？”——这是一个心理技巧，它改变了亿万富翁、运动员和普通决策者应对人生博弈的方式。

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第 1 章

When Life Deals You Uncertainty: Embrace the Bet

Annie Duke's journey from cognitive psychology doctoral student to professional poker champion wasn't part of her original plan. When illness derailed her academic career, she found herself in Montana where her brother Howard suggested trying legal poker games to make money. What began as a temporary solution evolved into a twenty-year career winning over $4 million in tournament poker. Rather than abandoning academics, Duke discovered that poker provided the perfect laboratory for studying decision-making-each hand offering multiple decisions with immediate financial feedback. The challenge? Interpreting that feedback correctly when luck plays such a significant role in outcomes. Since 2002, Duke has shared these poker-derived insights with professionals across industries. "Thinking in Bets" has become a Wall Street favorite and was named one of the best business books of 2018 by several publications. The book's influence extends beyond business-NFL coaches, political strategists, and even celebrities like Mindy Kaling have cited its impact on their decision-making approaches. At its core, Duke's work addresses a fundamental human challenge: how to make good decisions in an uncertain world where we can never have perfect information.

第 2 章

Life Is Poker, Not Chess: Embracing Uncertainty

One of the most controversial decisions in Super Bowl history came when Seattle Seahawks coach Pete Carroll called a pass play instead of an expected handoff at the Patriots' one-yard line with 26 seconds remaining. When the pass was intercepted, headlines savaged Carroll for "the worst play call in NFL history." Yet statistical analysis showed the decision was defensible-an interception was extremely unlikely (0% that season from the one-yard line, 2% historically). The intense criticism stemmed from one simple fact: the play didn't work. This illustrates our dangerous tendency to equate decision quality with outcome quality-what poker players call "resulting." When asked to identify our best and worst decisions, we invariably name those with the best and worst outcomes, regardless of the actual decision process. Our brains evolved to create certainty and order, making us uncomfortable with luck's role in our lives. Finding predictable connections was crucial for survival-our ancestors who connected rustling grass with potential predators lived to reproduce. As Michael Shermer explains, false positives (thinking it's a lion when it's just wind) were far less costly than false negatives (assuming it's wind when it's actually a lion). This evolutionary advantage becomes a liability in modern decision-making. We force connections between decisions and outcomes, assuming causation where there's only correlation and cherry-picking data to confirm preferred narratives. The difference between chess and poker perfectly illustrates this challenge. Chess contains no hidden information and minimal luck-making it a "well-defined form of computation" with theoretically correct solutions. In chess, outcomes correlate tightly with decision quality. A superior player will almost always defeat a weaker one. Poker, like life, involves uncertainty, bluffing, and deception. You can make perfect decisions and still lose due to bad luck, or make terrible decisions and win through good fortune. When information remains hidden (like opponents' folded cards), evaluating decision quality becomes even harder. The quality of our lives is the sum of decision quality plus luck, but uncertainty gives us room to deceive ourselves-either by not spotting mistakes when we win or by assuming we made mistakes when we lose despite good decisions.

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第 3 章

Decisions Are Bets: Reframing How We Choose

John Hennigan, a legendary poker player nicknamed "Johnny World," once accepted a $30,000 bet that he could live in Des Moines, Iowa, for a month-a stark contrast to his Las Vegas lifestyle. After just two days, he called his friends trying to negotiate his way out, ultimately paying $15,000 to escape the bet and return to Vegas. While this story became gambling folklore, the underlying decision process mirrors choices we all make. Whether relocating for a job or making major life changes, we're betting on what will improve our quality of life. We weigh mutually exclusive futures, considering financial compensation against less tangible factors like work environment and personal satisfaction. Every decision we make is fundamentally a bet. When we choose one path, we automatically eliminate all other possibilities. Taking a job means foregoing other opportunities. Some betting elements are more obvious in certain situations-investments clearly involve choice, probability and risk assessment. But parenting choices, relocation decisions, and even ordering chicken instead of steak are all bets. We're constantly wagering that our choices will create better future outcomes than the alternatives would have. Unlike gambling's zero-sum nature where one person wins and another loses, most of our decisions aren't bets against other people. Instead, we're betting against all potential future versions of ourselves that we're not choosing. That feeling of "I knew I should have made the other choice!" is just an alternative version of yourself saying "I told you so!" The quality of our bets depends entirely on the quality of our beliefs. Pete Carroll's Super Bowl decision was driven by his beliefs about his quarterback's abilities and the Patriots' defense. Unfortunately, we form beliefs haphazardly, often accepting things we hear without verification. Harvard psychologist Daniel Gilbert's research shows our default is actually to believe first, then maybe question later. Under any cognitive pressure, people tend to process all statements as true, regardless of whether they were labeled as false. This explains why we confidently believe things like baldness coming from maternal grandfathers or dog years equaling human years times seven-both false beliefs most people never researched. Our belief-formation process evolved for efficiency rather than accuracy, and we apply this same flawed system to consequential beliefs too, not just trivial misconceptions.

第 4 章

The Power of "Wanna Bet?": Challenging Our Certainty

The phrase "Wanna bet?" serves as a powerful cognitive tool that can fundamentally transform how we evaluate our beliefs and make decisions. When someone challenges us to bet on our beliefs, it triggers a profound shift in our thinking process. We suddenly become more analytical, examining our evidence with heightened scrutiny and questioning the foundations of our certainty. This mental shift forces us to consider not just what we believe, but why we believe it, leading us to scrutinize our information sources, evaluate the quality of our evidence, and actively search for potential blind spots in our reasoning. The betting framework introduces a crucial element of quantification to our thinking. Instead of viewing confidence as a simple yes-or-no proposition, we can adopt a more nuanced approach by rating our certainty on a scale from zero to ten, or as a percentage from 0% to 100%. For instance, rather than stating definitively "The stock market will decline next quarter," we might say "I'm 70% confident the market will decline." This numerical approach helps us recognize the spectrum of certainty that exists between complete uncertainty and absolute confidence. This probabilistic thinking extends to both historical facts and future predictions. Even when dealing with past events, where the truth is fixed but unknown to us, expressing our confidence levels helps acknowledge the limitations of our knowledge. For example, instead of asserting "Shakespeare wrote all his attributed plays," we might say "I'm 85% confident that Shakespeare wrote most of his attributed plays, with some likely collaborations." The benefits of embracing uncertainty are numerous and significant. It makes us more intellectually humble and open to new information, reduces defensive reactions when faced with contradictory evidence, and helps us maintain a more balanced perspective on our own knowledge limitations. This approach also improves our decision-making by forcing us to consider alternative possibilities and prepare for different scenarios. Perhaps counterintuitively, expressing uncertainty enhances rather than diminishes our credibility as communicators. When someone says they're "75% confident" about something, they demonstrate thoughtful consideration and self-awareness. This nuanced approach invites collaborative dialogue rather than confrontational debate. Others feel more comfortable sharing additional information or alternative viewpoints when they don't have to completely contradict someone's absolute certainty. The scientific community has long recognized the value of this approach, formalizing it through statistical concepts like p-values, confidence intervals, and margin of error. This institutionalized acknowledgment of uncertainty has been crucial to scientific progress, allowing knowledge to advance through continuous refinement and collaborative effort. When we adopt this scientific mindset in our daily thinking and communication, we create an environment where beliefs can be discussed, tested, and improved collectively. This betting framework also helps in practical decision-making scenarios. For instance, when making business decisions, explicitly stating confidence levels (e.g., "I'm 60% confident this product launch will succeed") leads to better risk assessment and contingency planning. It encourages teams to prepare for multiple scenarios rather than assuming a single predicted outcome will certainly occur.

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第 5 章

Learning from Outcomes: Separating Luck from Skill

Every outcome, from a golf shot to weight loss to exam performance, involves both skill and luck elements. When we attribute outcomes to skill, we take credit for the results; when we attribute them to luck, we acknowledge they weren't in our control. This initial "sorting decision" is a bet on whether an outcome belongs in the "luck bucket" or the "skill bucket." Like an outfielder deciding where to throw after catching a fly ball, we must make in-the-moment decisions about where to "throw" each outcome. Getting this right allows us to focus on experiences that have something to teach us (skill) and ignore those that don't (luck). The difficulty of determining causality is illustrated by the SnackWell's Phenomenon of the 1990s. When millions gained weight eating these "low-fat" cookies (which were high in sugar), they couldn't easily determine if their weight gain should be attributed to poor food choices or bad luck like metabolism. Working backward from outcomes isn't straightforward because we can reach the same result through different paths. Our tendency to misattribute outcomes follows a predictable pattern called "self-serving bias"-we take credit for good results and blame bad ones on luck. This bias severely limits our ability to learn from experience. By blaming bad outcomes on luck, we miss opportunities to examine our decisions. By taking credit for good outcomes, we reinforce decisions that might not deserve reinforcement. Black-and-white thinking distorts our view of outcomes like a funhouse mirror-maximizing our skill's role in good outcomes while minimizing it in bad ones, where luck looms large. This stems from our drive to create a positive self-narrative: taking credit feels good because it means we were right, while accepting blame feels bad because it means we were wrong. One might think we could bypass self-serving bias by learning from others' experiences. Unfortunately, we apply the same biases when watching others, just flipped: we blame others' bad outcomes on their poor decisions while attributing their successes to luck. As Jean Cocteau said, "We must believe in luck. For how else can we explain the success of those we don't like?"

第 6 章

The Buddy System: Creating Better Decisions Together

While groups can improve decision-making, they don't automatically do so. Groups can either promote exploratory thought (objective consideration of alternatives) or confirmatory thought (one-sided rationalization that amplifies bias). Without explicit commitment to exploratory thinking, groups naturally drift toward confirmation, creating echo chambers like poker players swapping bad-luck stories during tournament breaks. This tendency toward confirmation bias is particularly strong in homogeneous groups where members share similar backgrounds and perspectives. Based on extensive research by Tetlock, Lerner, and Haidt, an effective truthseeking charter should include: 1. Focus on accuracy over confirmation, rewarding truthseeking and objectivity through explicit acknowledgment and praise 2. Accountability that members know about in advance, including clear expectations for evidence-based reasoning 3. Openness to diverse perspectives, actively seeking out dissenting views and alternative explanations 4. Regular evaluation of decision processes, not just outcomes 5. Commitment to intellectual humility and willingness to change positions This aligns perfectly with thinking in bets-we don't win by loving our own ideas but by calibrating our beliefs to reality. Being part of such a group improves decisions by reducing errors, providing diverse perspectives, and reshaping decision habits even when making decisions alone. The group becomes a training ground for better individual thinking. Our craving for approval is so powerful that even study participants will work for it from strangers they'll never meet again. In one notable experiment, participants continued performing mundane tasks just for simple acknowledgment from researchers. A good decision group harnesses this desire by rewarding accuracy and intellectual honesty with social approval. Conversely, they show disapproval when members complain about bad luck or seek validation for winning. This creates a culture where truthseeking becomes the path to social acceptance. John Stuart Mill recognized over 150 years ago that diversity of opinion is essential for testing truth. While individually limited to one viewpoint, groups expose us to different perspectives that help us see both the world and ourselves more objectively. A diverse group can help combat motivated reasoning by asking critical questions we might avoid alone: Why might my belief be wrong? What evidence am I missing? Why might others disagree? These questions become particularly powerful when asked by those with different backgrounds and experiences. Cass Sunstein's massive study of federal appeals courts revealed how political diversity improves judicial decision-making. With over 6,000 cases and nearly 20,000 individual votes analyzed, the research found that while judges generally vote along political lines, having just one judge from the opposing party had "a large disciplining effect." This "ideological dampening" demonstrates how exposure to diverse viewpoints moderates extremes. The study showed that panels with mixed political appointments were 10-12% more likely to reach consensus and produced more thoroughly reasoned opinions. The power of group decision-making extends beyond formal settings. Studies of successful investment clubs show that those with diverse membership - varying in age, profession, and investment style - consistently outperform more homogeneous groups. Similarly, research teams with interdisciplinary composition tend to produce more innovative solutions and identify potential problems earlier in the process.

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第 7 章

Productive Dissent: Creating a Culture of Truthseeking

Sociologist Robert Merton established the CUDOS norms for scientific communities that serve as an excellent manual for truthseeking groups. These principles-Communism, Universalism, Disinterestedness, and Organized Skepticism-provide rules of engagement that push groups toward objectivity and away from confirmation bias. Merton's "communism" principle refers to the communal ownership of data within groups. Within decision groups, we should follow "more is more"-sharing all information, especially details that make us uncomfortable. The mere hesitation to share signals critical information. The norm of universalism means evaluating ideas based on their merit, not their source. While "don't shoot the messenger" protects those delivering bad news, "don't shoot the message" prevents us from dismissing valuable ideas because we dislike their source. One technique: initially withhold the source when sharing ideas with your group to prevent messenger bias. Conflicts of interest extend far beyond financial incentives. Our brains have built-in biases that interpret information to confirm existing beliefs, avoid admitting errors, take credit for successes while blaming failures on external factors, and maintain a coherent worldview. When communicating with our decision-making groups, we should avoid revealing outcomes when seeking feedback on decisions, as knowledge of results inevitably biases evaluation. Skepticism is often mischaracterized as negative or disagreeable, but true skepticism is about approaching the world by asking why things might not be true rather than assuming they are. It's entirely compatible with civility and friendly discourse. When we embrace uncertainty in our communication, confrontational dissent evaporates. Rather than declaring "You're wrong!" we engage by saying "I'm not sure about that" or asking "Have you considered this other perspective?" When engaging with people outside our truthseeking groups, we need modified approaches to foster productive exchanges. First, express uncertainty, which invites others to share insights without fear of right-versus-wrong confrontations. Second, lead with assent-identify specific points of agreement before adding new information, and use "and" instead of "but" when introducing different perspectives. "And" offers contribution while "but" signals repudiation. Finally, focus on the future rather than rehashing past decisions, as people are generally more rational and less defensive about events that haven't happened yet.

第 8 章

Mental Time Travel: Recruiting Your Past and Future Selves

Unlike time travel movies where meeting yourself destroys the universe, in decision-making we actually want to collide with past and future versions of ourselves. Mental time travel engages our deliberative mind (System 2) and activates the same neural networks used for memory, helping us make more rational choices by considering long-term consequences rather than just immediate gratification. Jerry Seinfeld's joke about "Night Guy" staying up late and screwing over "Morning Guy" perfectly illustrates temporal discounting-our tendency to favor present-self over future-self. Research by Stanford researchers shows that when people see age-progressed images of themselves, they make significantly better retirement decisions-subjects who saw aged versions of themselves allocated $178.10 to retirement accounts versus just $73.90 from those who saw their current selves. We tend to magnify our present emotions, treating momentary experiences like a roadside breakdown as catastrophic when they'll barely register in our memories a year later. This "ticker watching" of our emotional lives resembles obsessing over minute-by-minute stock fluctuations instead of considering long-term trends. Mental time travel helps us adopt a wider perspective, preventing us from making reactive decisions based on magnified emotional responses to temporary setbacks. Our emotional reactions are path-dependent, not just outcome-dependent. At a casino, winning $1,000 then losing it all feels devastating, while losing $1,000 then recovering to break even feels triumphant-despite identical financial outcomes. When we mentally time-travel and view these same outcomes from a distance of a year, our preferences typically reverse to more rational positions. Poker players have developed specialized terminology for emotional reactions to outcomes, with "tilt" being the most common term for when bad outcomes compromise decision-making. Like a pinball machine shutting down when violently jostled, tilt occurs when our emotional brain (limbic system) shuts down our cognitive control center (prefrontal cortex). By recognizing warning signs like exasperated outbursts, flushed cheeks, and racing heart, we can develop habit routines: walking away until calm, taking deep breaths, or asking perspective-gaining questions. Named after Odysseus (Ulysses), who had himself tied to the mast to resist the Sirens' song, Ulysses contracts are precommitments where past-you prevents present-you from making irrational decisions. These contracts can either raise barriers against poor choices (like using ride-sharing services when going to bars) or lower barriers to good choices (like carrying healthy snacks to avoid food court temptations). A "decision swear jar" creates accountability by identifying language patterns that signal irrational thinking. Warning signs include expressions of absolute certainty ("I know," "100%," "always," "never"), overconfidence, irrational outcome fielding ("I can't believe how unlucky I got"), dismissive characterizations of others ("idiot," "donkey"), zoomed-in perspective ("worst day ever"), and motivated reasoning signals. These trigger words serve as a Ulysses contract-when we catch ourselves saying or thinking these things, we're breaking our commitment to truthseeking.

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第 9 章

Planning for Multiple Futures: Scenarios, Backcasting, and Premortems

Just as military operations like D-Day require extensive reconnaissance to prepare for various scenarios, we need to scout our decision futures. For better decisions, we must perform reconnaissance on possible futures. Any decision creates a set of potential outcomes, and by imagining these possibilities-combining our memories in novel ways-we make better choices. After identifying possible outcomes, we should estimate their probabilities, even if imprecisely. This moves us away from binary thinking (0% or 100%) toward more reasonable assessments. When I consulted with After-School All-Stars (ASAS), I helped them incorporate scenario planning into their grant application process. By estimating the probability of winning each grant, ASAS transformed their operations. A $50,000 grant with a 70% chance of success (worth $35,000 in expected value) became more valuable than a $200,000 grant with only a 10% chance (worth $20,000). This probabilistic thinking led to more efficient resource allocation, realistic budgeting, and better calibration of their estimates. Not all methods of imagining the future are created equal. When planning a journey, we're better off imagining ourselves at the destination looking backward rather than starting from the beginning looking forward. Research shows that "prospective hindsight"-imagining an event has already occurred-increases our ability to identify reasons for future outcomes by 30%. In backcasting, we imagine holding up a newspaper with the headline "We Achieved Our Goal!" then work backward to determine how we got there. This approach helps organizations developing strategic plans to identify necessary steps, potential obstacles, and decision points. While backcasting explores positive futures, a premortem investigates negative outcomes before they happen. We imagine the headline "We Failed to Reach Our Goal" and work backward to identify what went wrong. Despite popular wisdom about positive visualization, research by Gabriele Oettingen over twenty years consistently shows that people who imagine obstacles are more likely to achieve their goals. Time is like a tree-the trunk represents our singular past, while the branches represent multiple possible futures. When one future materializes, we mentally "chainsaw" off all other branches that didn't happen, making the outcome seem inevitable. This is hindsight bias, the enemy of probabilistic thinking. Poker teaches us to take satisfaction in making good bets regardless of outcomes. Life, like poker, is one long game with many losses even after making the best possible decisions. We'll be happier accepting uncertainty rather than trying to be right every time. Our task is navigating uncertainty by calibrating our beliefs toward more accurate representations of the world-with strategic foresight and perspective, that's manageable work.

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《对赌思维》核心主题

probabilistic thinking
decision process evaluation
hidden information
outcome bias
risk assessment

《对赌思维》经典语录

Life is poker, not chess.
That’s what I mean by resulting: equating the quality of a decision with the outcome.
Beliefs are not facts.

《对赌思维》主要人物

Annie DukeAuthor, cognitive psychologist, and poker champion
Howard LedererAnnie's brother who introduced her to poker
Pete CarrollNFL coach used as a case study for decision-making
John HenniganPoker player nicknamed 'Johnny World'
Daniel GilbertHarvard psychologist whose research is discussed

关于作者

安妮·杜克（Annie Duke）是畅销书《对赌：在信息不足时如何做出高明决策》（Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts）的作者，也是一位认知行为决策专家和前职业扑克冠军。

她的著作融合了行为心理学与战略见解，汲取了她在宾夕法尼亚大学接受的认知科学学术训练，以及长达二十年的顶级扑克选手生涯——期间她获得了超过 400 万美元的锦标赛奖金。杜克的专业领域涵盖决策理论、风险管理和概率思维，这些也是她写作的核心主题。

她联合创立了“决策教育联盟”（The Alliance for Decision Education），这是一家致力于在学校推广决策技能的非营利组织；她还担任富兰克林研究所（Franklin Institute）和“课后全明星”（After-School All-Stars）的董事会成员。作为一名备受欢迎的演讲者，杜克曾为多家财富 500 强企业提供咨询，并多次出现在各大主流媒体平台上。

她此前的作品，包括《决定打好扑克》（Decide to Play Great Poker）和《中间地带》（The Middle Zone），巩固了她在博弈论和战略分析领域的权威地位。《对赌》一书已成为全美畅销书，因其将复杂的概念转化为可应用于商业和生活的实用策略而广受赞誉。

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由哥伦比亚大学校友在旧金山创建

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@Erin, Investment Banking Associate , NYC

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"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

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"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

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"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

查看更多网络上关于 BeFreed 的讨论

开启你的学习之旅，就是现在

第 6 章

对赌思维

概述《对赌思维》概述

一本书，多种聆听方式。

When Life Deals You Uncertainty: Embrace the Bet

Life Is Poker, Not Chess: Embracing Uncertainty

边听边看，每个词都清晰呈现

Decisions Are Bets: Reframing How We Choose

The Power of "Wanna Bet?": Challenging Our Certainty

从 《对赌思维》中收获更多

Learning from Outcomes: Separating Luck from Skill

The Buddy System: Creating Better Decisions Together

边听边看，每个词都清晰呈现

Productive Dissent: Creating a Culture of Truthseeking

Mental Time Travel: Recruiting Your Past and Future Selves

从 《对赌思维》中收获更多

Planning for Multiple Futures: Scenarios, Backcasting, and Premortems

你已读完 《对赌思维》

《对赌思维》核心主题

《对赌思维》经典语录

《对赌思维》主要人物

关于作者

下载《对赌思维》摘要

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关于本书的常见问题

What is Thinking in Bets by Annie Duke about?

Who should read Thinking in Bets?

Is Thinking in Bets worth reading?

How does Thinking in Bets compare decision-making to poker?

该学习计划的一部分

Merge CIA Operator & Nassim Taleb Thinking

Mauboussin & Taleb: Probabilistic Decisions

Strategic PMO Leadership for Startups

发现更多

1,000,000+ curious minds.

1,000,000+ curious minds.

一本书，多种聆听方式。

When Life Deals You Uncertainty: Embrace the Bet

Life Is Poker, Not Chess: Embracing Uncertainty

边听边看，每个词都清晰呈现

Decisions Are Bets: Reframing How We Choose

The Power of "Wanna Bet?": Challenging Our Certainty

从 《对赌思维》中收获更多

Learning from Outcomes: Separating Luck from Skill

The Buddy System: Creating Better Decisions Together

边听边看，每个词都清晰呈现

Productive Dissent: Creating a Culture of Truthseeking

Mental Time Travel: Recruiting Your Past and Future Selves

从 《对赌思维》中收获更多

Planning for Multiple Futures: Scenarios, Backcasting, and Premortems

你已读完 《对赌思维》

用户还喜欢

该学习计划的一部分

Merge CIA Operator & Nassim Taleb Thinking

Mauboussin & Taleb: Probabilistic Decisions

Strategic PMO Leadership for Startups

发现更多

《对赌思维》概述

从《对赌思维》中收获更多

从《对赌思维》中收获更多

你已读完《对赌思维》

从《对赌思维》中收获更多

从《对赌思维》中收获更多

你已读完《对赌思维》