What is *An Economist Walks Into a Brothel* about?

*An Economist Walks Into a Brothel* explores how economic principles can be applied to manage risk in everyday decisions. Through case studies like Nevada brothels, horse racing, and Hollywood stunts, Allison Schrager outlines five rules to quantify and mitigate uncertainty while pursuing bold goals. The book merges storytelling with data-driven strategies to reframe risk as a tool for growth.

Who should read *An Economist Walks Into a Brothel*?

This book suits professionals in finance, entrepreneurship, or career transition, as well as anyone navigating high-stakes decisions. Schrager’s accessible examples appeal to readers seeking practical frameworks to balance risk and reward, from investors to individuals tackling personal or professional challenges.

Is *An Economist Walks Into a Brothel* worth reading?

Yes—the book offers actionable insights backed by real-world research, making complex economic concepts relatable. Schrager’s blend of humor, case studies, and clear rules provides a fresh perspective on risk management, whether applied to finance, career moves, or life choices.

What are the five rules of risk management in *An Economist Walks Into a Brothel*?

Schrager’s five rules include: 1. **Define clear goals** before taking risks. 2. **Price risk objectively** using data. 3. **Diversify** to avoid overexposure. 4. **Negotiate terms** to align incentives. 5. **Accept unavoidable risks** strategically. These principles are illustrated through examples like film insurance and professional gambling.

How does *An Economist Walks Into a Brothel* use unconventional examples to explain risk?

The book analyzes Nevada’s legal brothels to show how regulated markets reduce danger for sex workers and clients. Similarly, it dissects Hollywood’s stunt industry to demonstrate risk-pricing models. These cases highlight how structured frameworks turn chaotic scenarios into manageable decisions.

What is the key message of *An Economist Walks Into a Brothel*?

Risk is inevitable, but ignorance of it is optional. Schrager argues that systematically assessing trade-offs—using data and clear goals—allows individuals to take smarter risks rather than avoiding them entirely. This approach maximizes potential gains while minimizing catastrophic losses.

How does *An Economist Walks Into a Brothel* apply to career decisions?

The book advises professionals to treat career moves like investments: identify desired outcomes, research opportunity costs, and diversify skills. For example, Schrager critiques impulsive job switches without quantifying risks, advocating for strategic pivots aligned with long-term objectives.

What criticisms exist about *An Economist Walks Into a Brothel*?

Some reviewers note that the book’s focus on quantifiable risks may oversimplify emotional or social factors in decision-making. Others suggest its examples (e.g., brothels) risk sensationalism, though supporters argue they effectively engage readers.

L'économiste au bordel

Et d'autres endroits inattendus pour comprendre le risque

Allison Schrager

3.55(2150 Reviews)

Aperçu de L'économiste au bordel

Vous êtes-vous déjà demandé ce que les travailleurs du sexe et Wall Street ont en commun ? Le livre d'Allison Schrager, acclamé comme « Livre du mois du Financial Times », révèle comment les preneurs de risques non conventionnels naviguent dans l'incertitude. Tyler Cowen le qualifie de « vision la plus aventureuse du risque » — découvrez pourquoi la prise de risque intelligente transforme à la fois les finances et les décisions de vie.

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Les mêmes idées de L'économiste au bordel. Choisissez la voix, la profondeur et le rythme qui vous conviennent. Changez à tout moment.

Chapitre 1

When Risk Meets Reward: Lessons from Unexpected Places

In a world obsessed with safety, economist Allison Schrager ventured into one of America's most notorious brothels-not for pleasure, but for economic insight. The Moonlite BunnyRanch in Nevada became her unlikely classroom for understanding risk management. This unexpected journey exemplifies Schrager's refreshingly unconventional approach to economics, which has made "An Economist Walks Into a Brothel" a favorite among business leaders like Ray Dalio and Daniel Kahneman. The book's cultural impact extends beyond economics circles, offering accessible wisdom about risk that resonates with everyday decision-makers. By examining risk through diverse lenses-from sex work to surfing, horse breeding to Hollywood-Schrager transforms complex financial concepts into relatable insights about the choices we all face. Her work arrives at a critical moment when economic uncertainty has become our constant companion, providing a timely framework for navigating an increasingly unpredictable world.

Chapitre 2

Risk: The Price We Pay for Possibility

Risk isn't simply about bad outcomes-it encompasses all possible outcomes and their probabilities. We instinctively equate risk with danger, but risk actually represents the full spectrum of possibilities, both good and bad. Taking risks is essential for improving our lives, whether pursuing relationships, advancing careers, or achieving financial goals. The word "risk" itself has evolved from describing perilous hazards to something controllable that offers hope for success. Financial economics provides tools to understand risk scientifically, helping us make better decisions by recognizing that any choice leads to a range of possible outcomes that we can influence. Rather than avoiding risk entirely, we can learn to take calculated risks that maximize our chances of success. This principle appears vividly in Nevada's legal brothel industry. The Moonlite BunnyRanch, owned by Dennis Hof until his death in 2018, revolutionized the business by treating sex workers as independent contractors who negotiate their own prices and services. This business model reduces risk for both buyers and sellers of sex. Workers like Shelby Starr earn around $600,000 annually but surrender half to the brothel-a premium they willingly pay for safety and legitimacy. Legal sex workers charge about $1,400 per hour, compared to $350 for illegal services, demonstrating the value customers and providers place on risk reduction. Despite taking home similar amounts after expenses as illegal workers, brothel employees consistently cite safety as worth the cost, with security guards and panic buttons protecting them from dangerous clients. The most expensive and popular service, the "Girlfriend Experience" (GFE), which includes relationship pleasantries like kissing and conversation, commands a premium in both legal and illegal markets. Men pay more for this service because it offers risk-free intimacy without rejection or commitment. Surprisingly, the brothel's biggest earners are middle-aged women with advanced people skills who offer comfort and intimacy, not younger workers. Financial science aims to identify what portion of a price is driven by risk, making it easier to understand the risks we face and determine optimal risk management strategies. Unlike traditional economics where value is based on scarcity, financial economics recognizes risk as a critical component of value-goods that reduce risk typically cost more.

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Chapitre 3

Defining Your Destination: The First Rule of Risk Management

Taking risks without clear objectives rarely succeeds. Just as Yogi Berra warned about not knowing your destination, risk-taking requires understanding what you truly want. The most successful risk-takers follow a three-step process: defining their ultimate goal, identifying the lowest-risk path to achieve it, and determining how much risk is necessary. This approach introduces the critical concept of "risk-free"-whatever delivers your desired outcome with total certainty-which looks different for each person and situation. Kat Cole transformed Cinnabon by understanding the true objective was increasing sales, not merely reducing calories. While competitors created artificial low-calorie options, Cole recognized Cinnabon's identity as an indulgent treat and instead mandated all franchises offer the 350-calorie MiniBon alongside the original. Despite franchise owners' concerns about cannibalization and equipment costs, Cole's bet paid off spectacularly-sales rose 6% as the smaller option attracted new customers without compromising the brand's reputation for decadence. The risk-free option serves as the foundation for financial decision-making by establishing what it costs to achieve your goal with certainty. For example, if you need $3,000 for a vacation next year, investing $2,970 in a 1% savings account guarantees that outcome. This calculation helps determine how much risk you need to take based on your resources-if you only have $1,500, you must either accept more risk or modify your goal. Risk-free solutions vary dramatically depending on your specific goals. For long-term objectives like a $30,000 retirement vacation in twenty years, a simple bank account isn't risk-free because inflation will erode your savings-you'd need inflation-protected bonds instead. Similarly, in personal decisions, the risk-free choice depends entirely on your true objective. If your goal is simply getting married, accepting the first person who loves you might seem risk-free; but if your goal is sustaining a lifelong partnership, this becomes a high-risk choice. Even economists can miscalculate risk, as Schrager learned painfully when pursuing her economics PhD. She took on a mathematics-heavy program despite being underprepared, believing hard work guaranteed success. When she finally solved her dissertation problem, everything fell apart-her relationship with her advisor deteriorated, a friend died, and she realized she didn't actually want the academic career she'd been working toward. She had taken a major risk without a clear goal, investing in what she thought was "risk-free" (more education) without understanding what she truly wanted.

Chapitre 4

Measuring Risk: Why Hollywood Can't Predict Success

Risk measurement requires estimating all possible outcomes and their probabilities. While sometimes straightforward, certain industries present nearly impossible measurement challenges-none more notorious than Hollywood, where predicting hits consistently eludes even sophisticated models. The movie business exemplifies risk measurement failure, where investors repeatedly believe they can tame uncertainty with science and data. Hollywood attracts investors claiming scientific approaches to predicting success, like Ryan Kavanaugh who charmed the industry with his Monte Carlo simulation. His model promised to forecast winners and losers in an industry where success seems random. The traditional strategy-making numerous films hoping a few blockbusters will cover the losses of many failures-wastes resources and talent. Filmmaking presents unique risk measurement challenges: large upfront investments with delayed returns, data that poorly predicts future outcomes, and glamour that blinds sophisticated investors. The simplest risk measurement approach examines past outcomes to predict future possibilities. Like estimating airport travel time based on previous trips, we typically work with a normal range of outcomes rather than extreme scenarios. Risk represents our estimate of possible future events and their probabilities. While predicting exact outcomes is nearly impossible, establishing reasonable ranges helps decision-making. The movie business defies normal distribution patterns entirely. While stock returns cluster in the middle with rare extremes, movie profits follow a skewed distribution-most films lose money, but a few massive winners subsidize all the losers. About 53% of widely-released movies don't even recoup their production budgets. This skewness makes traditional risk measurement tools like volatility unreliable, as they might only predict outcomes 30-40% of the time. The industry resembles venture capital: many investments fail, but occasional unicorns compensate for the duds. Ryan Kavanaugh's Monte Carlo simulation model initially succeeded by analyzing movie characteristics (actors, directors, genres, budgets) to predict profitable films. His "Holy Grail" data convinced hedge funds to invest hundreds of millions, earning 13-18% returns on early slates. But the model's effectiveness deteriorated as market conditions shifted-DVD sales declined, China emerged as a major market, franchise films dominated, and streaming services changed viewing habits. When Elliott Management invested $67 million for 49.5% of Relativity in 2008, Kavanaugh's extravagant spending and failed predictions led to bankruptcy by 2016. Risk is a human construct attempting to bring order to an unknowable future. While data may be a terrible predictor, it's the best tool we have. Despite limitations that become more apparent in our rapidly changing world, data is simultaneously becoming more powerful for measuring risk. With more computing power and techniques like machine learning, we now have unprecedented ability to analyze what we buy, watch, and who we know.

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Chapitre 5

Navigating Different Risk Types: Lessons from the Paparazzi

Financial economists divide risk into two categories: idiosyncratic risk (unique to a particular asset) and systematic risk (affecting the entire market). Paparazzi face both types intensely. Idiosyncratic risk includes whether a celebrity wears a black dress or sweats, or leaves through the front or back door-factors unique to getting the right shot at the right time. Systematic risk includes industry-wide disruptions like the recession and digital media transformation that crashed the entire celebrity photo market. Santiago Baez, a paparazzo since the early 1990s, learned his craft from an older French photographer who taught him the golden rules: don't let celebrities see you, and don't speak unless spoken to first. Originally from the Dominican Republic, Baez taught himself English and photography while working as a busboy. He developed an encyclopedic knowledge of celebrity residences and built networks of informants who tip him off about celebrity movements. The most valuable photos capture unaware celebrities in newsworthy moments. The gold rush era brought a flood of new photographers willing to break laws and harass celebrities. The Great Recession and rise of digital media ultimately ended the gold rush. Media companies switched to subscription models where publishers could use unlimited photos, dramatically reducing photographer pay. An exclusive "Just Like Us" photo that once fetched $5,000-$15,000 now pays only $5-$10. The days of six-figure paparazzi incomes are largely gone, with many like Baez forced to leave the industry. To manage idiosyncratic risk in finance, investors buy many different stocks, spreading their exposure. Similarly, paparazzi form alliances to pool their luck, though these partnerships are undermined by incentives to cheat. Systematic risk is measured in finance using market beta-how much a stock moves with the overall market. Low-beta stocks reduce portfolio risk but offer lower returns, while high-beta stocks amplify risk but promise higher returns. Everyone faces varying degrees of idiosyncratic and systematic risk in their careers. Commission-based sales jobs offer higher potential earnings than salaried positions because they involve both types of risk. Economists have identified a U-shaped pattern in systematic income risk-both the lowest and highest earners face greater systematic risk than middle-income workers. Low-wage retail workers are vulnerable during economic downturns, while high-paid finance professionals expect layoffs when markets crash. Government jobs typically offer lower pay but more stability with low beta, trading income for security. Today's workers face more acute systematic risk than in previous decades. Previously, most employment risk was idiosyncratic-conflicts with bosses or poorly managed companies-and losing one job meant you could likely find another similar one. Now, systematic risks like automation and artificial intelligence threaten entire categories of jobs.

Chapitre 6

Overcoming Our Irrational Risk Responses

No one likes to lose. When facing risk, our desire to avoid loss can lead us astray from what financial economics predicts we should do. But with knowledge and experience, we can improve our behavior, even if we still hate to lose. Professional poker player Phil Hellmuth demonstrates this battle-despite his famous tantrums when losing, his success comes from overcoming emotions and choosing the right hands to play. Unlike most players who play 25-50% of hands, Hellmuth's disciplined approach means playing only 12% of hands. In 1986, Hellmuth dropped out of college to play poker professionally, against his academic father's wishes. His career started poorly-five months later he was broke in Vegas, begging his parents for airfare home. Yet just three years later, he won his first World Series of Poker. Realizing his emotional nature was a liability, Hellmuth adopted "the discipline of a monk"-avoiding alcohol and practicing celibacy. Despite ongoing struggles with self-control and wild swings in wealth, he's learned to master his impulses during play while channeling his emotional outbursts into a winning brand. Even when risks are clearly presented, we make choices that don't appear rational because emotions influence our decisions. We place different emotional values (utility) on potential outcomes. Daniel Bernoulli observed that how we feel about each outcome matters more than its objective value. Economists traditionally assumed we're consistently risk-averse, preferring certainty to gambles. However, psychologists Tversky and Kahneman's prospect theory revealed that our starting position matters. When facing potential gains, we're risk-averse (preferring $45 guaranteed over a 50% chance at $100). But when facing losses, we become risk-seeking-willing to take chances to avoid certain losses. Our reference point determines how we view risky choices and what we're likely to do. The break-even effect explains why gamblers take increasingly larger risks after losses. Economists studying online poker rooms found that after losing $1,000, about two-thirds of players became looser and more aggressive in subsequent hands. Players bet more to stay in games and raised bids more frequently when down. Conversely, when winning, they played tighter, betting less than 20% of the time. Phil Hellmuth employs several strategies to manage risk effectively despite his emotional tendencies. First, he never risks more than $10,000 of his own money in tournaments, getting "staked" by investors who share his winnings. Second, he makes side deals with opponents to guarantee payouts regardless of outcome. Third, he practices "broad framing," viewing each hand as part of a larger game rather than an isolated decision. Finally, he deliberately seeks criticism to combat overconfidence, which helps him maintain focus and avoid unnecessary risks.

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Chapitre 7

The Art of Diversification: Reducing Risk Without Sacrificing Reward

Facing risk is the cost of getting what we want, but sometimes we can economize through diversification-owning different assets rather than betting everything on one. This approach, which revolutionized investment in the 1950s and '60s, offers a rare "free lunch" in risk management: the same expected reward with less risk. This concept is now spreading beyond finance to unexpected places like Kentucky's horse breeding industry. At Three Chimneys stud farm in Kentucky, breeding is all business. Gun Runner, a legendary stallion commanding $70,000 per session, breeds with about 170 mares per season. His high stud fee stems from his racing success, pedigree, and especially his newness-hype translates to money in horse breeding. By contrast, War Front, who's been breeding since 2007, commands $250,000 per session because his progeny have proven successful. Breeding racehorses is incredibly risky-it costs over $100,000 plus stud fees to raise a foal to racing age, with only 8% ever earning significant money. To manage this risk, breeders typically sell horses as yearlings, when price depends almost entirely on parentage. Scientists have identified a "speed gene" that determines whether horses excel at sprinting or distance running. The most valuable horses are "heterozygotes" with both sprinting and distance genes, making them versatile for middle-distance races like the Kentucky Derby. Horse breeders have economic incentives that promote inbreeding. Northern Dancer, likely a heterozygote with both sprinter and distance genes, appears in 96.5% of modern foals' bloodlines. While inbreeding between third and fourth cousins can initially be beneficial, continued inbreeding becomes high-risk: horses may be faster sprinters but more prone to injury, with less dense bones and higher rates of barrenness. If breeders prioritized winning races over auction sales, they would diversify the Thoroughbred gene pool rather than focusing on select stallions. In finance, diversification similarly eliminates needless risk. The Apple versus Hewlett-Packard investment example from 1993 demonstrates this principle: while Apple ultimately returned $1 million on a $25,000 investment over twenty years compared to HP's $57,000, this outcome was unpredictable at the time. Splitting the investment would have yielded $604,000-less than the Apple-only scenario but far safer given the information available then. Harry Markowitz revolutionized finance in 1952 by questioning why investors owned dozens of stocks if future profits were the only consideration. His insight that people should care about risk as well as return became the foundation of modern finance. Markowitz discovered that selecting stocks that balanced each other out reduced risk while maintaining similar returns. This approach treats risk as an input and reward as an output, with diversification creating efficient portfolios.

Chapitre 8

Hedging: The Strategic Sacrifice for Safety

Successful risk-takers don't just charge ahead blindly-they know how to hedge. Hedging means taking less risk by sacrificing potential big gains to avoid big losses, finding the right balance between risk and reward. Arnold Donald, CEO of Carnival cruise line, exemplifies this approach. Growing up poor in segregated New Orleans, Donald learned early to "maximize the probability of success" rather than taking uncalculated risks. Hedging means de-risking by sacrificing potential gains to reduce the odds of things going wrong. Unlike diversification (which eliminates unnecessary risk through ownership of various assets), hedging specifically reduces your exposure to remaining risks at the cost of potential rewards. It requires clear goals and planning-like betting against your favorite team so you'll have financial consolation if they lose. The simplest hedging strategy is taking less risk by investing in safer assets. For example, if you need $12,000 in five years for college tuition but hope for extra money for a nicer dorm, you could split your investments between stocks (8% potential return) and bonds (guaranteed 3%). This reduces your expected return from 8% to 5.5%, but protects against market crashes. David Bowie demonstrated brilliant risk management throughout his career. As a teenager, he took less upfront money to retain ownership of his music-betting on himself when record labels thought they were getting a bargain. Decades later, facing an uncertain music industry with the rise of file sharing, he worked with banker David Pullman to securitize his royalties. The resulting "Bowie Bond" gave him $55 million upfront from Prudential in exchange for fifteen years of royalty payments from his pre-1990 catalog. This hedge provided certainty during industry disruption while allowing him to technically maintain ownership of his music. Another hedging approach is purchasing assets that move in opposite directions. Like betting against your favorite sports team, the emotional loss of your team losing is offset by financial gain. A cruise ship captain whose income depends on the cruise industry's success could hedge by investing in land-based resorts that benefit when cruises are unpopular. Hedging strategies can be reversed to increase both risk and potential rewards. While hedging reduces risk by combining stocks with bonds, leverage does the opposite by borrowing money to make larger investments. This "negative hedge" magnifies both potential gains and losses, as illustrated by a hypothetical Forever Stamp arbitrage: investing $10,000 might yield an 11% return, but borrowing $90,000 more could multiply profits sixfold-while risking your home if you can't sell the stamps.

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Chapitre 9

Insurance: The Magic of Risk Transfer

Insurance works like magic by reducing risk without sacrificing potential rewards. Unlike hedging where you give up upside to reduce risk, insurance preserves upside while protecting against disaster. You pay a premium to transfer risk to someone else-whether insuring your life, home, or even body parts like Dolly Parton's breasts. This risk transfer is efficient because insurers pool risk across many customers, requiring each to pay only a fraction of potential losses. Options are financial insurance instruments that let you pay a premium for the right (but not obligation) to buy or sell assets at predetermined prices. They can magnify both gains and losses-buying ten Twitter call options at $2 each could yield $80 profit if the stock rises to $40, versus just $21 profit from buying one share directly. But if the stock falls, options become worthless. Despite seeming modern, options have existed for thousands of years-Aristotle wrote about Thales profiting from olive press options. The Black-Scholes model identifies four key risk parameters-the "Greeks"-that determine option prices. Vega measures volatility: greater uncertainty means higher insurance costs. Delta represents the odds of needing insurance: hurricane coverage costs more in Florida than Arizona because the risk is higher. Theta accounts for time: longer risk exposure means higher premiums, challenging the misconception that long-term investing is inherently safer. Rho considers the risk-free alternative: how appealing the safe option is affects risk pricing. When buying insurance, ask two critical questions: Does it actually cover risks that threaten your goals? And is the premium worth the protection? Many people overpay for unnecessary coverage or misunderstand what's included. The Black-Scholes model helps determine if insurance is worth its cost by evaluating risk factors: situation volatility, probability of needing coverage, policy duration, and opportunity cost of avoiding risk altogether. Critics argue financial derivatives create false security that encourages excessive risk-taking. Like magic creates wonder by suggesting control over randomness, options pricing creates an illusion of certainty in uncertain markets. While options can reduce risk, they can also be flipped to amplify it, creating a delicate balance between security and potential systemic blowups.

Chapitre 10

Embracing Uncertainty in an Unpredictable World

No institution invests more in risk management than the military, which also pays the highest price when plans fail. Despite our best efforts to measure risk and stack odds in our favor, uncertainty-the things we never saw coming-remains. General H.R. McMaster, known for decisive battle victories and his brief tenure as national security adviser, is an expert on managing risk in warfare and planning for the unpredictable. In February 1991, Captain H.R. McMaster led Eagle Troop into Iraq during Operation Desert Storm. Despite Pentagon simulations predicting massive casualties, McMaster's 140 soldiers dominated a much larger Republican Guard force in the Battle of 73 Easting. Using superior technology and training, they destroyed dozens of Iraqi tanks within minutes without suffering any casualties. The stunning victory helped shape Pentagon thinking that American technological superiority could remove risk from warfare. While most of us won't experience combat, we can learn from battlefield uncertainty in our everyday risks. Even the best risk management strategies fall short because human behavior is inherently unpredictable. McMaster warns: "If you try to plan for everything and think you have too much certainty, you create vulnerabilities." This insight applies beyond military contexts. No matter how much we plan or insure ourselves, uncertainty remains. Risk planning can create false comfort that we've prepared for all contingencies. Military organizations often "study what makes them feel comfortable about themselves, not the uncongenial lessons of past conflicts." This is evident in how the Gulf War sparked the Revolution in Military Affairs philosophy that technology could reduce warfare risks, justifying a smaller military. But this ignored the unpredictability of enemies. McMaster calls the belief that technology can eliminate risk the "vampire fallacy"-it simply won't die despite repeatedly being disproven. Using risk management is like taking a road trip with a map-it increases your odds of success but can't prevent every accident. Colonel Finkel outlines four principles for maintaining flexibility: encourage lower-ranking members to challenge conventional wisdom; recognize that even "super weapons" will eventually face effective countermeasures; establish systems for rapid learning and sharing of lessons; and employ leaders with mental flexibility to adapt when circumstances change. The belief that technology can remove risk from warfare mirrors similar hubris in financial markets before the 2008 crisis. In both domains, rigidity leads to failure. Taking on excessive debt is like centralizing military power-it works until something unexpected happens. Rather than obsessing over who predicted crises correctly, we should study great risk-takers who maintain flexibility and resilience. We must take risks to advance in life, but understanding risk is rarely taught, leading many to view it in binary terms-either take a risk or don't. Financial economics offers a more nuanced approach: recognizing degrees of uncertainty and asking "How can I take smarter risks?" rather than "Should I take a risk?" Smart risk-takers measure the risks involved and take only what's necessary to achieve their goals. This approach doesn't guarantee success but increases the odds that risks will pay off.

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Thèmes clés dans L'économiste au bordel

risk management
financial decision making
calculated risk
incentive structures
probability assessment

Citations de L'économiste au bordel

Risk: The Price We Pay for Possibility
Taking risks is essential for improving our lives.
Taking risks without clear objectives rarely succeeds.
Risk represents our estimate of possible future events.
Risk isn't simply about bad outcomes-it encompasses all possible outcomes.

Personnages de L'économiste au bordel

Allison SchragerEconomist and author who studies risk management
Dennis HofLate owner of the Moonlite BunnyRanch brothel
Shelby StarrLegal sex worker at the Moonlite BunnyRanch
Kat ColeFormer executive who transformed Cinnabon

À propos de l'auteur

Allison Schrager, économiste et chercheuse principale au Manhattan Institute, est l'auteure de An Economist Walks into a Brothel, une exploration provocatrice de la gestion des risques mêlant économie, finances personnelles et études de cas réels.

S'appuyant sur son expertise en finances publiques, en retraites et en politique monétaire, Schrager décode les principes complexes du risque à travers des exemples atypiques — des maisons closes du Nevada aux surfeurs professionnels — offrant des stratégies concrètes pour naviguer dans l'incertitude.

Titulaire d'un doctorat de l'Université de Columbia, elle a cofondé LifeCycle Finance Partners, conseillé des organisations telles que l'OCDE et le FMI, et dirigé l'innovation en matière de retraite chez Dimensional Fund Advisors. Ses analyses paraissent régulièrement dans Bloomberg Opinion, The Economist et Reuters, et elle a donné des conférences TEDx sur la redéfinition de l'évitement du risque.

Le travail de Schrager est salué par des leaders d'opinion comme le général Stanley McChrystal, qui a qualifié l'ouvrage de « lecture indispensable pour quiconque cherche à commander, à gouverner ou à enseigner ».

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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

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

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

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

Decouvrez comment BeFreed est discute sur le web

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Chapitre 10

L'économiste au bordel

AperçuAperçu de L'économiste au bordel

Un livre. De nombreuses façons de l'écouter.

When Risk Meets Reward: Lessons from Unexpected Places

Risk: The Price We Pay for Possibility

Voyez chaque mot au fil de l'écoute

Defining Your Destination: The First Rule of Risk Management

Measuring Risk: Why Hollywood Can't Predict Success

Profitez davantage de L'économiste au bordel

Navigating Different Risk Types: Lessons from the Paparazzi

Overcoming Our Irrational Risk Responses

Voyez chaque mot au fil de l'écoute

The Art of Diversification: Reducing Risk Without Sacrificing Reward

Hedging: The Strategic Sacrifice for Safety

Profitez davantage de L'économiste au bordel

Insurance: The Magic of Risk Transfer

Embracing Uncertainty in an Unpredictable World

Vous êtes arrivé au bout de L'économiste au bordel

Thèmes clés dans L'économiste au bordel

Citations de L'économiste au bordel

Personnages de L'économiste au bordel

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Découvrir plus

1,000,000+ curious minds.

1,000,000+ curious minds.

Un livre. De nombreuses façons de l'écouter.

When Risk Meets Reward: Lessons from Unexpected Places

Risk: The Price We Pay for Possibility

Voyez chaque mot au fil de l'écoute

Defining Your Destination: The First Rule of Risk Management

Measuring Risk: Why Hollywood Can't Predict Success

Profitez davantage de L'économiste au bordel

Navigating Different Risk Types: Lessons from the Paparazzi

Overcoming Our Irrational Risk Responses

Voyez chaque mot au fil de l'écoute

The Art of Diversification: Reducing Risk Without Sacrificing Reward

Hedging: The Strategic Sacrifice for Safety

Profitez davantage de L'économiste au bordel

Insurance: The Magic of Risk Transfer

Embracing Uncertainty in an Unpredictable World

Vous êtes arrivé au bout de L'économiste au bordel

Les utilisateurs ont aussi aimé

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Aperçu de L'économiste au bordel