Book
Disrobed : how clothing predicts economic cycles, saves lives, and determines the future
Record details
- ISBN: 9781442270992
- ISBN: 1442270993
-
Physical Description:
print
xiv, 167 pages ; 24 cm - Publisher: Lanham, Maryland : Rowman & Littlefield, [2017]
Content descriptions
| Bibliography, etc. Note: | Includes bibliographical references and index. |
| Formatted Contents Note: | Are you wearing your lucky jersey? -- You already know if that's a fake in the museum -- Bankers' wives are laundering money -- Not shopping could save the planet -- Is your cotton shirt causing starvation? -- Can clothing save the lives of millions? -- Burkinis and the clash of civilization -- Conclusion: the power to change everything. |
Search for related items by subject
| Subject: | Clothing and dress Social aspects |
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Available copies
- 1 of 1 copy available at Kirtland Community College.
Holds
- 0 current holds with 1 total copy.
Show Only Available Copies
| Location | Call Number / Copy Notes | Barcode | Shelving Location | Status | Due Date |
|---|---|---|---|---|---|
| Kirtland Community College Library | GT 525 .T36 2017 | 30775305527427 | General Collection | Available | - |
Disrobed : How Clothing Predicts Economic Cycles, Saves Lives, and Determines the Future
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Table of Contents
Disrobed : How Clothing Predicts Economic Cycles, Saves Lives, and Determines the Future
| Section | Section Description | Page Number |
|---|---|---|
| Introduction | p. ix | |
| Introducing the central idea of the book: Clothing is a bellwether, a canary in a coal mine, a tool. | ||
| Did clothing predict Donald Trump would win? | ||
| How you can see the effects of Hurricane Katrina at your neighborhood TJ Maxx | ||
| You can use clothing to predict changes in the world | ||
| Clothing tells you what large groups of people are thinking, even before they know themselves | ||
| Clothing can save your life | ||
| 1 | Are You Wearing Your Lucky Jersey? | p. 1 |
| Using clothing to read others' minds and thoughts | ||
| Why your banker being superstitious indicates a recession is coming | ||
| Why even math-based people don't always make decisions using facts | ||
| How we wear our emotions and possibly our intent | ||
| Clothing tells you what people are afraid of and what they are planning | ||
| How clothing is data | ||
| 2 | You Already Know if that's a Fake in the Museum | p. 15 |
| How clothing is linked to worldwide cons in science and finance | ||
| How a fake might wend its way into a museum | ||
| Malcolm McLarens decades-long war against auction houses | ||
| You already have the tools to tell if you're being conned | ||
| Why speakeasies are bogus | ||
| What résumés and cloning have to do with the financial crisis | ||
| How clothing can tell you when the next financial fraud is coming | ||
| 3 | Bankers' Wives are Laundering Money | p. 37 |
| How resale shops just happen to forecast recessions | ||
| How Livestrong and Fitbit came to change city maps worldwide | ||
| Recycling, this generations peace symbol | ||
| Are we consuming more just to claim we are being green rather than just, actually, being green? | ||
| How clothing is a weapon of money and power in a divorce | ||
| The wife "bonus" | ||
| How consumption patterns of the seemingly recession-proof superrich are, in fact, predictors of recession | ||
| 4 | Not Shopping Could Save the Planet | p. 51 |
| We are running out of drinking water, and how our retail behaviors could solve that | ||
| What is freecycling? How could it save our earth? | ||
| Choosing to machine-wash or dry-clean your clothes could mean the end of sushi | ||
| How being cheap became trendy | ||
| What the 1980s cash-for-gold commercials and Marie Kondo have in common | ||
| The circular economy | ||
| Buying one less pair of jeans provides water for the population of Avon, Colorado | ||
| The China effect, or when the worlds biggest shoppers might stop buying. | ||
| 5 | Is Your Cotton Shirt Causing Starvation? | p. 69 |
| Food or clothing; we might not be able to have both | ||
| Why foraging is just a really, really bad idea | ||
| How farm-to-table is possibly causing starvation in Africa | ||
| Natural fabric? | ||
| Cotton farmers have the highest rate of farmer cancers | ||
| Is your T-shirt causing famine? | ||
| GMOs, bamboo, fracking, and how one man crossed two continents just to grow his own cotton | ||
| Ethanol and the resulting food crises | ||
| Why avocado toast is the new blood diamond | ||
| 6 | Can Clothing Save the Lives of Millions? | p. 85 |
| Can existing wearable technology alter the death rate of natural disasters forever? | ||
| How a watch could save your life in an earthquake | ||
| A Hong Kong coin shortage led to our connected world | ||
| Can clothing protect you in a post 9/11 universe? | ||
| Ball caps and jackets that could help Alzheimer's patients and prevent car accidents | ||
| A purse that could never be stolen | ||
| Shoes that could power a city grid | ||
| Military-grade facial recognition and how we are already using it | ||
| How American author Edward Bellamy predicted the coming cashless world in 1888 | ||
| 7 | Burkinis and the Clash of Civilizations | p. 103 |
| How terrorism, clothing, and travel became inextricably linked | ||
| How social media made culture the new war, and how culture made clothing the new battleground | ||
| The French burkini ban and why laïcité means you should get naked | ||
| Why you are ten times more likely to die at the hands of LA gangs than at the hands of ISIS | ||
| What ideas about child abuse have to do with banning burkas | ||
| The difficulty of modesty in a Bollywood and Instagram world | ||
| How clothing became a weapon in the war against terrorism. | ||
| Conclusion: The Power to Change Everything | p. 119 | |
| Acknowledgments | p. 123 | |
| Notes | p. 125 | |
| Index | p. 159 | |
| About the Author | p. 167 |
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