The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.

Computers have changed since 1981, when Tracy Kidder memorably recorded the drama, comedy, and excitement of one company's efforts to bring a new microcomputer to market. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations.

For David Goggins, childhood was a nightmare - poverty, prejudice, and physical abuse colored his days and haunted his nights. But through self-discipline, mental toughness, and hard work, Goggins transformed himself from a depressed, overweight young man with no future into a US Armed Forces icon and one of the world's top endurance athletes. The only man in history to complete elite training as a Navy SEAL, Army Ranger, and Air Force Tactical Air Controller, he went on to set records in numerous endurance events.

Als der Australier Lindsay mit falschen Papieren in Bombay strandet, hat er einen spektakulären Ausbruch aus einem Hochsicherheitsgefängnis hinter sich und ist auf der Flucht vor Interpol. Ohne Sprachkenntnisse und Kontakte ist das Überleben in der chaotischen Metropole jedoch schwer. Zu seinem Glück begegnet Lindsay dem jungen Inder Prabaker, der in den Slums lebt und ihn unter seine Fittiche nimmt.

The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won't create a social network. If you are copying these guys, you aren't learning from them. It's easier to copy a model than to make something new: doing what we already know how to do takes the world from 1 to n, adding more of something familiar. But every time we create something new, we go from 0 to 1.