What is *The Silo Effect* by Gillian Tett about?

*The Silo Effect* examines how organizational and mental silos—rigid divisions between teams or disciplines—hinder innovation and risk management. Gillian Tett, an anthropologist and journalist, uses case studies like Sony’s decline and the 2008 financial crisis to show how silos lead to tunnel vision. She argues for breaking down barriers to foster collaboration and adaptability.

Who should read *The Silo Effect*?

Executives, managers, and professionals in sectors like finance, healthcare, or tech will benefit from Tett’s insights. It’s also valuable for readers interested in organizational psychology, anthropology, or systemic risk. The book offers practical strategies for anyone seeking to combat inefficiencies caused by fragmented teams.

Is *The Silo Effect* worth reading?

Yes. Praised by *The Wall Street Journal* and *Financial Times*, the book combines rigorous research with engaging storytelling. Tett’s anthropological lens provides a fresh perspective on universal business challenges, making it essential for understanding modern organizational pitfalls.

What are the main concepts in *The Silo Effect*?

Key ideas include: - **Silo mentality**: Over-specialization that blinds teams to risks. - **Interdisciplinary collaboration**: Leveraging diverse perspectives to solve problems. - **Anthropological analysis**: Using cultural observation to diagnose organizational issues. Case studies like the Cleveland Clinic’s restructuring illustrate these concepts.

How does *The Silo Effect* apply to businesses today?

Tett shows how silos persist in remote work, AI adoption, and corporate mergers. For example, she details how the Federal Reserve’s fragmented structure delayed its response to the 2008 crisis—a lesson for firms navigating rapid technological change today.

What are key takeaways from *The Silo Effect*?

1. **Break physical/mental barriers**: Open office layouts and cross-department projects. 2. **Encourage “boundary spanning”**: Hire generalists to bridge specialized teams. 3. **Learn from anthropology**: Observe workplace culture to identify invisible silos.

How does Gillian Tett’s anthropology background shape *The Silo Effect*?

Tett’s PhD in social anthropology informs her analysis of organizations as cultural systems. She applies fieldwork methods—like studying Wall Street traders as a tribal group—to reveal how silos emerge from unspoken norms and hierarchies.

What case studies are featured in *The Silo Effect*?

- **Sony’s siloed divisions** stifling innovation. - **UBS’s risk management failures** during the 2008 crisis. - **Cleveland Clinic’s success** in restructuring around patient needs, not specialties.

筒仓效应

专业知识的危机与颠覆的力量

吉莲·邰蒂

3.76(1155 Reviews)

《筒仓效应》概述

从人类学家转行成为记者的吉莲·邰蒂（Gillian Tett）揭示了组织孤岛如何破坏创新并导致盲目。本书深受《华尔街日报》赞誉，并被 Facebook 高管所采纳，它展示了克利夫兰医学中心（Cleveland Clinic）以患者而非部门为核心的革命性重组，为何能引发一场全球管理革命。

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第 1 章

When Organizations Build Walls That Blind

Have you ever wondered why brilliant people in powerful institutions sometimes make catastrophic mistakes that seem obvious in hindsight? Why did Sony, once the king of portable music with its iconic Walkman, completely miss the digital music revolution, allowing Apple to dominate with the iPod? How did UBS, Switzerland's largest bank with 3,000 risk managers, fail to notice it had accumulated $50 billion in toxic mortgage securities until it was too late? These questions fascinated Gillian Tett, who as a Financial Times journalist during the 2008 financial crisis observed how even the most sophisticated organizations operated in fragmented ways that prevented them from seeing the complete picture. Drawing on her unique background as both a financial journalist and trained anthropologist, Tett explores what she calls "the silo effect" - how the human tendency to organize into specialized groups can either foster innovation or lead to disastrous blindness. Named one of the Financial Times' Books of the Year and praised by Malcolm Gladwell as "genuinely important," Tett's investigation takes us from the trading floors of Wall Street to Facebook's headquarters to show how mastering organizational silos rather than being mastered by them can mean the difference between success and failure.

第 2 章

The Blindness of Specialization

The story begins in April 2011 with a devastating fire in the Bronx that killed a family trapped by illegally constructed walls in their apartment. The tragedy sparked finger-pointing between New York City agencies, none of which had effectively addressed the dangerous conditions despite multiple warning signs. This fragmentation of responsibility wasn't new - during 9/11, emergency workers discovered their radios couldn't communicate on the same channels. Mike Flowers, who had worked as a prosecutor in Iraq, saw an opportunity to apply what he'd learned about connecting seemingly unrelated data to save lives in New York. With Mayor Bloomberg's support, Flowers assembled a team of recent college graduates to analyze fire risk data. Initially, they discovered that 311 calls about illegal building conversions were unreliable predictors since they mostly came from Manhattan while actual fires occurred in outer boroughs where immigrants were too scared to report problems. By sending team members on "ride-alongs" with building inspectors, they learned that dangerous buildings typically were built before 1938, located in poor neighborhoods, had owners delinquent on mortgages, and had previous complaints about issues like vermin. When they combined data from multiple siloed departments - including building age, mortgage defaults, building code violations, and poverty indicators - they created a statistical model that dramatically improved fire trap prediction. Building inspectors who reluctantly used this model found actual problems 70 percent of the time compared to their previous 13 percent success rate. Flowers' team applied their silo-busting approach to other city problems with remarkable success. By cross-checking business licenses against tax fraud data, they dramatically increased detection rates for cigarette smuggling. Similarly, they tackled illegal OxyContin sales by combining fragmented databases to discover that just 1 percent of pharmacies accounted for around 24 percent of Medicaid reimbursements for the most potent prescriptions. This paradox of our modern world is striking: we're more interconnected than ever before, with globalization and technology linking economies, news, and ideas at lightning speed. Yet our lives remain fragmented. Organizations are divided into departments that don't communicate, people exist in mental and social ghettos, politics is polarized, and professions grow increasingly specialized. However, silos aren't inherently bad - we need specialized departments and expertise to handle our complex world. Without structure and division of labor, there would be chaos. The problem arises when silos become too rigid, causing departments to fight with each other, information to bottleneck, innovation to stall, and dangerous tunnel vision to develop.

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第 3 章

When Sony Lost Its Music

In November 1999 at the Comdex trade fair in Las Vegas, Sony CEO Nobuyuki Idei delivered a keynote presentation showcasing Sony's vision as a "broadband entertainment company" poised to navigate the digital revolution. However, a puzzling moment revealed Sony's fundamental problem: Idei presented not one but two competing digital music players - a Memory Stick Walkman and a Vaio MusicClip - each using different proprietary technologies. Soon after, Sony would introduce yet a third device, the Network Walkman. This unusual strategy violated basic corporate strategy principles and signaled Sony's internal fragmentation. Different departments had each developed their own digital music devices with incompatible proprietary technology, unable to agree on a single approach or joint strategy. Within years, Sony dropped out of the digital music market, allowing Apple to dominate with the iPod. Most troubling was that few inside Sony recognized how problematic their siloed structure had become - they had normalized their tribalism. Sony hadn't always been bureaucratic. Founded after World War II by Akio Morita and Masaru Ibuka, the company began with entrepreneurial spirit in bomb-damaged Tokyo with just twelve employees and $500 capital. Their greatest success came with the Walkman in 1979, which revolutionized music listening despite initial internal skepticism. By the late 1990s, Sony had transformed from a nimble startup to a 160,000-employee behemoth spanning electronics, insurance, and entertainment. When Nobuyuki Idei became president, he reorganized Sony into specialized self-standing units - silos - inspired by Nestle's structure. Initially, this improved accountability and profitability, but these silos ultimately undermined collaboration as department managers began "protecting" their units, refusing to share ideas or rotate staff, and avoiding risk-taking that didn't guarantee immediate returns. In stark contrast, Apple under Steve Jobs rejected silos entirely. Jobs ran Apple as "one cohesive and flexible company" with a single profit-and-loss statement. When developing the iPod, Apple engineers collaborated across departments, creating an innovative two-step solution where users would download and organize music on computers before transferring to a portable device. They also developed iTunes to address music industry concerns about piracy, making it accessible to all users regardless of device. By 2005, Sony's decline was undeniable. Its share price had collapsed from 16,300 yen in 2000 to around 5,000 yen. In a surprising move, Sony appointed Howard Stringer as CEO - a British-American media executive who had never lived in Japan or spoken Japanese. His outsider status was viewed as an advantage precisely because he wasn't aligned with any particular silo within Sony. Stringer launched an ambitious restructuring plan in 2005 to eliminate corporate silos. He cut nearly 10% of Sony's 180,000 staff, reduced business models by 20%, and consolidated manufacturing sites. Initially, results seemed promising, but the turnaround was short-lived. By 2007, Sony was posting losses again as external factors like the financial crisis and natural disasters disrupted operations. Yet Sony's problems went beyond bad luck. Stringer faced entrenched resistance that he couldn't overcome. Unlike Lou Gerstner at IBM, who monitored implementation obsessively ("People don't do what you expect, but what you inspect"), Stringer couldn't effectively track compliance with his directives. He didn't speak Japanese, lacked a team of loyalists in Tokyo headquarters, and couldn't casually interact with staff. "People would say yes to me, but nothing would happen," he later recalled.

第 4 章

The Bank That Fooled Itself

In March 2007, Swiss regulators flew to London to meet with UBS, Switzerland's largest bank. The meeting addressed concerns about UBS's exposure to America's booming housing market. Despite Switzerland's reputation for cautious banking - UBS employed 3,000 risk managers and was considered "exemplary" in risk control - regulators wanted assurance that the bank understood potential risks if the housing market declined. UBS officials confidently declared they were well-protected, claiming the bank had not only insured itself against losses but had placed additional bets that would generate profits if housing prices fell. Finding these explanations credible, the regulators returned to Switzerland and reported that UBS faced "no major risks" in this area. Six months later, this assessment proved catastrophically wrong. In October, despite record revenues, UBS revealed losses of 726 million Swiss francs from bad American mortgage investments. By December, the situation had deteriorated dramatically - CEO Marcel Rohner announced the bank had lost $10 billion from mortgage bets and had secretly accumulated $50 billion of U.S. subprime mortgage securities without top management's knowledge. Eventually, the Swiss government had to contribute 6 billion Swiss francs of taxpayer money to rescue the bank. When an independent investigation was conducted, it reached a disturbing conclusion: there was no conspiracy or deliberate gamble. Instead, UBS's leadership genuinely believed their bank was healthy and that they owned "first-class subprime mortgage securities." The auditors and regulators shared this belief. As economics professor Tobias Straumann explained, "Its image as a conservative bank was not made up to deceive the public. It corresponded fully with the picture that the bank had of itself." The most terrifying aspect wasn't that bankers had lied to others - it was that they had collectively fooled themselves. UBS's risk management structure was fatally fragmented. Though the bank employed 3,000 risk officers, they worked in separate departments tracking different risk types with minimal communication between them. When Swiss regulators visited London in spring 2007, UBS risk officers highlighted the London team's short positions against the housing market but completely omitted the massive long positions held by the New York CDO warehouse. The regulators, receiving this incomplete picture, incorrectly concluded UBS had minimal housing market exposure. The classification system inside UBS existed "at the borders of conscious and unconscious thought." Bankers maintained rigid mental categories - AAA assets were completely different from BBB assets, client businesses were separate from proprietary trading - despite obvious contradictions. Risk managers, accountants, and regulators all used these same classifications when determining capital requirements. Despite occasional jokes about these inconsistencies, nobody had incentive to challenge the status quo.

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第 5 章

When Experts Miss the Big Picture

In November 2008, two months after the devastating financial crisis, Queen Elizabeth II visited the London School of Economics. When presented with economic charts, she asked the pointed question: "Why did nobody see the crisis coming?" Economist Luis Garicano attempted to explain that while people were doing their jobs, nobody could see the complete picture. This perfectly illustrates how even brilliant experts become blind when trapped in rigid silos. Paul Tucker's journey through economic policymaking illustrates the problem of silos perfectly. Though he joined the Bank of England in 1979 with a mathematics and philosophy background rather than economics, he witnessed how the discipline transformed. Originally, economics meant "house management" (from Greek oikonomia) and was holistically connected to society and politics. However, as economics evolved, it became increasingly siloed from other social sciences and obsessed with complex mathematical models. By the early 21st century, the Bank had been restructured, with debt sales moved to the Debt Management Office and bank supervision transferred to the Financial Services Authority, leaving the Bank with only a vague mandate to maintain "financial stability." Another issue was that economists had become less interested in money itself. Instead of viewing it as a central topic, it became seen as merely a transmission device in economic models. In December 2006, Tucker gave a speech about the economy. While most indicators suggested a "Great Stability" with low inflation and robust growth, one statistic troubled him: broad money (M4) was expanding at an alarming rate - up 15% over the year and 25% since early 2005. When Tucker investigated this anomaly, his team discovered the growth was coming from entities labeled "Other Financial Corporations" (OFCs) - essentially a miscellaneous category for financial entities that didn't fit traditional classifications. The problem was that economists weren't connecting these financial innovations to macroeconomic analysis. The split between finance and economics was so entrenched that economists focused on their mathematical models of the "real" economy while ignoring developments in financial markets. In August 2007, as financial markets began freezing worldwide, the Federal Reserve Bank of Kansas City held its annual economic gathering at Jackson Hole. Despite plunging mortgage bond prices, most central bankers initially dismissed the turmoil as temporary. The breakthrough came when Paul McCulley of PIMCO electrified the audience by declaring: "The real issue going on right now is a run on the shadow banking system." This simple phrase instantly gave economists, journalists, and policymakers a mental framework and language to discuss what was happening. After Jackson Hole, researchers at the New York Fed began mapping the shadow banking system. The resulting diagram was so vast it required a poster several feet wide - physically demonstrating that shadow banks weren't footnotes but central pillars of the financial system. This created a Copernican-like cognitive shift in how finance was understood. In 2009, nearly a year after the Queen's famous question, the Royal Academy gathered prominent economists to formulate an answer. Their three-page letter identified system fragmentation as the fundamental problem - economists had become siloed, with macroeconomists examining economic statistics while microeconomists focused on individual markets, neither group connecting the dots between financial innovation and the broader economy. The letter concluded that "the failure was principally a failure of the collective imagination of many bright people... to understand the risks to the system as a whole."

第 6 章

Breaking Down Police Department Walls

Brett Goldstein's life changed dramatically on September 11, 2001. While working as an operations manager for the restaurant booking website OpenTable, Goldstein was stranded at Chicago Midway Airport as the terrorist attacks unfolded. Watching the tragedy, he experienced an epiphany - helping affluent people book restaurant tables suddenly seemed trivial. Despite bewilderment from friends and family, Goldstein applied to become a police officer, beginning an unexpected career transition from tech entrepreneur to law enforcement. When Goldstein joined the Chicago Police Department, he arrived at a pivotal moment. The force, traditionally insular with 13,000 members often from multi-generational police families, was undergoing upheaval following incidents of brutality and corruption. In 2007, the city appointed its first outsider superintendent in fifty years - Jody Weis, an FBI veteran who brought fresh perspectives on information sharing. By mid-2009, Chicago Police Superintendent Jody Weis was struggling with the city's soaring murder rate, which exceeded even New York's despite Chicago's smaller population. Michael Masters suggested consulting Brett Goldstein about using data analytics to address crime. Despite Goldstein's awkward personality, Weis was intrigued by his proposal to apply restaurant-matching algorithms to predict crime patterns. Working from a windowless office, Goldstein analyzed crime data against variables like weather and gang movements, creating geospatial "murder maps" to forecast where violence would likely erupt. The program showed promising results, with FBI wiretaps confirming criminals were actively avoiding the data-driven police units. By 2011, Chicago's murder rate had fallen to its lowest level since the 1960s. After Rahm Emanuel became mayor in 2011, Goldstein became Chicago's first Chief Data Officer. With his "nerd herd" of tech volunteers, he created WindyGrid, an interactive platform that broke down data silos across city departments. Though his police analytics program was partly dismantled after he left (with murder rates subsequently rising), his pioneering work spread to police departments worldwide, from Los Angeles to London.

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第 7 章

How Facebook Fights Fragmentation

In summer 2010, Jocelyn Goldfein joined Facebook and created a "Task Reaper" program to track obsolete bugs. When she accidentally deployed it prematurely, crashing the email system by sending hundreds of thousands of messages, she expected harsh repercussions. Instead, she encountered collaboration rather than territorial defense - no one questioned her right to work on the project despite it crossing into other teams' domains. This contrasted sharply with the tribal infighting she'd experienced at other tech companies, revealing Facebook's different approach to organizational boundaries. In 2008, Facebook's leadership grew concerned when they surpassed 150 engineers - a threshold known as "Dunbar's number." Developed by British evolutionary psychologist Robin Dunbar, this theory suggests humans can maintain meaningful relationships with approximately 150 people before social cohesion requires bureaucracy or coercion. Facebook's founders were fascinated by this concept, initially for commercial applications but increasingly for internal organization as they worried about maintaining their early collaborative culture amid rapid growth - a challenge that had transformed other successful startups like Microsoft into siloed bureaucracies. To combat fragmentation, Facebook implemented several innovative strategies: First, they created "Bootcamp" - a six-week orientation where new engineers worked on small projects across different parts of the codebase before choosing their permanent team. This created a network of relationships spanning the entire organization and ensured engineers understood multiple aspects of Facebook's technology. Second, the physical campus was deliberately designed to fight fragmentation. When Facebook moved to its new Menlo Park headquarters, Zuckerberg renamed it "One Hacker Way," removed internal walls, installed glass meeting rooms, and positioned his own glass-walled office centrally. The campus design encouraged constant movement and random collisions between employees, with central gathering spaces like "Hacker Square" hosting all-hands meetings and weekly town halls. Third, Facebook's own platform became another powerful anti-silo weapon. From the company's earliest days, managers recognized that the Facebook platform enabled horizontal communication rather than rigid hierarchical information flows typical in email-based organizations. The platform also helped staff build deeper, multi-dimensional connections with each other. Managers insisted employees use real names when referring to colleagues, never allowing dehumanizing labels like "those idiots in team six." Finally, Facebook's hackathons exemplified the company's ritualized approach to silo-busting. These events followed strict traditions but always forced engineers to work with people outside their normal teams. Like anthropological rituals studied by Bronislaw Malinowski, these ceremonies helped forge a common identity.

第 8 章

Reorganizing Healthcare Around Patients

In 2006, Cleveland Clinic CEO Toby Cosgrove - a renowned heart surgeon who had performed over 22,000 operations and filed thirty patents - was confronted by Harvard Business School student Kara Medoff Barnett. Despite Cleveland Clinic's technical excellence, she revealed her family chose another hospital for her father's surgery because Cleveland "had no empathy." When asked if he taught empathy, Cosgrove was stumped. Later in Saudi Arabia, watching the king weep during a hospital dedication "to the body, spirit and soul of the patient," Cosgrove realized his hospital's organization reflected doctors' specialist perspective rather than patients' experience of illness. This revelation led him to question whether medicine's siloed structure truly served patients effectively. Cleveland Clinic's history embodies an unorthodox approach to medicine. Founded in the 1880s, the practice grew after the founders revolutionized their practice by adopting the military hospital model of teamwork rather than individual entrepreneurship. Despite being derided as "medical Soviets" and "Bolsheviks," they persevered through disasters including a deadly 1929 fire that killed 123 people and the Great Depression. In 2004, Delos "Toby" Cosgrove was appointed CEO after running its successful thoracic and cardiovascular surgery unit. Despite struggling with undiagnosed dyslexia through his education, Cosgrove flourished in practical medicine. He attributed his unconventional problem-solving to his dyslexia, which forced him to develop a photographic mind and forge his own learning methods. Cosgrove believed that "innovation happens at the margins, where one discipline rubs up against another" - essentially where silos break down. A few years after becoming CEO, Cosgrove announced two revolutionary changes to Cleveland Clinic's structure. First, all 43,000 staff would be redefined as "caregivers" responsible for treating patients' emotional and spiritual needs alongside physical ailments. Second, he would reorganize the entire hospital structure, abolishing the traditional division between surgery and medicine departments to create multidisciplinary institutes organized around body systems or diseases. This radical restructuring began with creating a Neurological Institute that combined neurology, psychology, and neurosurgery. Despite resistance from medical boards and insurance companies, Cosgrove implemented a "Big Bang" revolution in January 2008, launching 27 new institutes that forced surgeons and physicians to collaborate across traditional boundaries. By late 2013, Cosgrove's reforms had produced remarkable results: Cleveland Clinic ranked top in America for patient satisfaction according to U.S. News & World Report - a dramatic improvement from being at the bottom a decade earlier. The hospital also ranked in the top three for technical skills in almost every specialty while maintaining lower costs than many rivals. President Obama praised Cleveland Clinic as a model where "patients' care is the number-one concern, not bureaucracy."

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第 9 章

Profiting From Others' Blind Spots

On May 11, 2012, JPMorgan Chase CEO Jamie Dimon admitted to massive losses from trades by Bruno Iksil, nicknamed "the London Whale." Iksil had placed enormous bets using credit derivatives linked to the IG9 index, providing bundled insurance on debts from 125 American companies. When prices turned against these positions, losses totaled at least $6.2 billion. Meanwhile, hedge fund BlueMountain Capital took the opposite side of these trades and profited approximately $300 million. BlueMountain Capital began in 2001 when Andrew Feldstein left JPMorgan to partner with Harvard Law classmate Stephen Siderow. Feldstein, who had helped develop credit derivatives at JPMorgan, grew frustrated as the bank became more bureaucratic after merging with Chase Manhattan. His approach was unique - he viewed markets not just mathematically but as cultural patterns within ecosystems. His fascination with classification systems and their flaws led him to identify opportunities in the gaps between how banks organized themselves and financial reality. BlueMountain's first major strategy targeted CDOs (collateralized debt obligations), exploiting how banks' fragmented trading desks created price distortions. Bank departments operated under rigid, inconsistent rules - some could only trade complete CDOs while others could only handle individual components; some could only buy AAA-rated assets. These silos created uneven demand and pricing inconsistencies across markets. Finance theory suggests a CDO's total value should match the sum of its parts, but organizational barriers prevented this equilibrium. By 2009, BlueMountain Capital had grown substantially, moving from its tiny windowless office to prestigious Park Avenue quarters. The fund had become so influential that Goldman Sachs listed them as their fourth-largest credit derivatives counterparty. After suffering losses in 2008 when the CDO market collapsed, BlueMountain rebounded spectacularly with 37.4% returns in 2009, growing to manage $5 billion in assets. In 2011, BlueMountain traders noticed peculiar price movements in the IG9 credit derivatives index. Financial theory dictates an index's value should equal the sum of its components, but the IG9 was diverging significantly from its underlying credit derivatives. BlueMountain's investigation revealed JPMorgan's Chief Investment Office (CIO) was placing enormous bets through this index. When auditors examined JPMorgan's books after the scandal broke, they discovered the CIO office had been valuing credit derivatives differently from the investment bank - even when holding identical instruments. BlueMountain expanded their bucket-busting approach to other market areas where rigid boundaries created price distortions. Unlike Merrill Lynch's failed attempt at cross-asset collaboration (which floundered due to specialized knowledge silos, physical separation, and compensation structures tied to product groups), BlueMountain deliberately fostered collaboration by having equity and credit experts sit together, creating a common database for investment ideas, and basing compensation significantly on team results rather than individual performance.

第 10 章

Seeing With New Eyes

As Marcel Proust noted, "The real voyage of discovery consists not in seeking new landscapes but in having new eyes." By 2014, Mike Flowers, who had pioneered Bloomberg's big data experiments at City Hall, had moved on to teaching at NYU and advising other governments on silo-busting. One of his favorite success stories involved connecting six separate bureaucratic systems handling 911 calls, which led to improved emergency response times with minimal changes - they simply brought data together and thought differently. To develop the imagination needed to challenge classification systems, anthropology offers six valuable principles: taking bottom-up views through field experience; observing how different parts interconnect; examining taboo or overlooked aspects of life; noting gaps between rhetoric and reality; comparing different systems to illuminate patterns; and recognizing that classification systems aren't inevitable but culturally constructed. These principles help us become "insider-outsiders" who can view our environments with fresh perspective. We don't need to be anthropologists to gain this viewpoint - it can come from crossing borders, changing careers, or simply trying to see through others' eyes. The challenge is making time for these perspective-shifting activities in a world obsessed with efficiency and specialization. Our obsession with efficiency creates a major obstacle to silo-busting. Modern education and career paths push specialization, making people into technical experts rather than generalists. Institutions face pressure to eliminate "waste," making it difficult to justify activities that don't deliver immediate results - like cross-department conversations, innovation "safaris," or creating cultural translators. The book's key message is that rigid streamlining ultimately makes our world less effective. Living in specialized silos might appear efficient short-term, but creates a fragmented world of missed opportunities and hidden risks. We face a choice: be mastered by our mental and structural silos or learn to master them by questioning how we classify the world and imagining alternatives.

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《筒仓效应》核心主题

organizational fragmentation
information bottlenecks
structural tunnel vision
cross-departmental collaboration
corporate tribalism

《筒仓效应》经典语录

Organizations are divided into departments that don't communicate.
Silos aren't inherently bad.
They had normalized their tribalism.
Jobs ran Apple as 'one cohesive and flexible company'.
People would say yes to me, but nothing would happen.

《筒仓效应》主要人物

Gillian TettAuthor, journalist, and trained anthropologist
Mike FlowersLeader of NYC data team tackling urban silos
Nobuyuki IdeiFormer CEO of Sony during its digital transition
Akio MoritaCo-founder of Sony who helped create the Walkman
Mayor BloombergNew York City leader who supported data reform

关于作者

吉莉安·罗曼·泰特（Gillian Romaine Tett）OBE 是一位屡获殊荣的《金融时报》专栏作家和人类学家，因其对全球市场和组织行为的深刻分析而备受赞誉。

泰特拥有剑桥大学社会人类学博士学位，她独特地运用人类学原理来剖析金融体系和企业文化。她的著作《孤岛效应》（The Silo Effect）借鉴了她担任《金融时报》美国版主编和东京分社社长的丰富经验，探讨了机构孤岛如何阻碍创新。

泰特的畅销书《金钱陷阱》（Fool’s Gold，2009年）是对2008年金融危机的权威记录。该书荣获了 Spear’s 图书奖，并巩固了她作为系统性风险预见性分析师的声誉。在她2021年的著作《人类学视野》（Anthro-Vision）中，她进一步探讨了人类学与商业世界的关联，并获得了 Porchlight 年度最佳商业图书奖。

除了写作之外，泰特还共同创办了《金融时报》的《道德金钱》（Moral Money）通讯，目前担任剑桥大学国王学院院长。她继续倡导以跨学科方案解决复杂的全球挑战，她的作品至今仍是顶尖商学院和智库的必读书目。

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Think like Nassim taleb

In an increasingly volatile world, traditional linear thinking often leads to catastrophic failure. This plan is essential for decision-makers, investors, and strategists who want to move beyond mere resilience and learn to profit from uncertainty.

5 h 30 m•4 章节

由哥伦比亚大学校友创建源自旧金山

BeFreed 汇聚全球求知若渴的学习者

4.7

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@Matt, YC alum

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@Erin, Investment Banking Associate , NYC

254

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@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

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

查看更多网络上关于 BeFreed 的讨论

由哥伦比亚大学校友创建源自旧金山

BeFreed 汇聚全球求知若渴的学习者

4.7

平均评分

7,840+ 条 App 评分

BeFreed Community

"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

"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

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 5 章

筒仓效应

概述《筒仓效应》概述

一本书，多种聆听方式。

When Organizations Build Walls That Blind

The Blindness of Specialization

边听边看，每个词都清晰呈现

When Sony Lost Its Music

The Bank That Fooled Itself

从 《筒仓效应》中收获更多

When Experts Miss the Big Picture

Breaking Down Police Department Walls

边听边看，每个词都清晰呈现

How Facebook Fights Fragmentation

Reorganizing Healthcare Around Patients

从 《筒仓效应》中收获更多

Profiting From Others' Blind Spots

Seeing With New Eyes

你已读完 《筒仓效应》

《筒仓效应》核心主题

《筒仓效应》经典语录

《筒仓效应》主要人物

关于作者

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发现更多

BeFreed 汇聚全球求知若渴的学习者

BeFreed 汇聚全球求知若渴的学习者

一本书，多种聆听方式。

When Organizations Build Walls That Blind

The Blindness of Specialization

边听边看，每个词都清晰呈现

When Sony Lost Its Music

The Bank That Fooled Itself

从 《筒仓效应》中收获更多

When Experts Miss the Big Picture

Breaking Down Police Department Walls

边听边看，每个词都清晰呈现

How Facebook Fights Fragmentation

Reorganizing Healthcare Around Patients

从 《筒仓效应》中收获更多

Profiting From Others' Blind Spots

Seeing With New Eyes

你已读完 《筒仓效应》

用户还喜欢

发现更多

《筒仓效应》概述

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从《筒仓效应》中收获更多

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