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Warnings: Finding Cassandras to Stop Catastrophes

Unknown Author
4.9/5 (26331 ratings)
Description:Millions of lives lost to catastrophes—natural and man-made—could have been saved by the advance warnings of experts. Can we find those prescient people before the next catastrophe strikes? Two CEOs and White House national security veterans reveal insider views of previous disasters, chilling insights on today’s threats to mankind, and a prescription to protect us This is the story of the future of national security, threatening technologies, the US economy, and possibly the fate of civilization.In Greek mythology Cassandra foresaw calamities, but was cursed by the gods to be ignored. Modern-day Cassandras clearly predicted the disasters of Katrina, Fukushima, the Great Recession, the rise of ISIS, and many others. Like her, they were ignored. There are others right now warning of impending disasters, but how do we know which warnings are likely to be right?Through riveting explorations in a variety of fields, the authors uncover a method to separate the accurate Cassandras from the crazy doomsayers. They then investigate the experts who today are warning of future disasters—the threats from artificial intelligence, bio-hacking, mutating viruses, and more—and whose calls are not being heeded. Their penetrating insights are essential for anyone, any business, or any government that doesn’t want to be a blind victim to tomorrow’s catastrophe. We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Warnings: Finding Cassandras to Stop Catastrophes. To get started finding Warnings: Finding Cassandras to Stop Catastrophes, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0062488023

Warnings: Finding Cassandras to Stop Catastrophes

Unknown Author
4.4/5 (1290744 ratings)
Description: Millions of lives lost to catastrophes—natural and man-made—could have been saved by the advance warnings of experts. Can we find those prescient people before the next catastrophe strikes? Two CEOs and White House national security veterans reveal insider views of previous disasters, chilling insights on today’s threats to mankind, and a prescription to protect us This is the story of the future of national security, threatening technologies, the US economy, and possibly the fate of civilization.In Greek mythology Cassandra foresaw calamities, but was cursed by the gods to be ignored. Modern-day Cassandras clearly predicted the disasters of Katrina, Fukushima, the Great Recession, the rise of ISIS, and many others. Like her, they were ignored. There are others right now warning of impending disasters, but how do we know which warnings are likely to be right?Through riveting explorations in a variety of fields, the authors uncover a method to separate the accurate Cassandras from the crazy doomsayers. They then investigate the experts who today are warning of future disasters—the threats from artificial intelligence, bio-hacking, mutating viruses, and more—and whose calls are not being heeded. Their penetrating insights are essential for anyone, any business, or any government that doesn’t want to be a blind victim to tomorrow’s catastrophe. We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Warnings: Finding Cassandras to Stop Catastrophes. To get started finding Warnings: Finding Cassandras to Stop Catastrophes, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0062488023
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