Principles are ways of successfully dealing with reality to get what you want out of life.
Ray Dalio, one of the world’s most successful investors and entrepreneurs, cites principles as his key to success.
Principles are ways of successfully dealing with reality to get what you want out of life.
Ray Dalio, one of the world’s most successful investors and entrepreneurs, cites principles as his key to success.
In 1975, Ray Dalio founded Bridgewater Associates, out of his two-bedroom apartment in New York City. Over forty years later, Bridgewater has grown into the largest hedge fund in the world and the fifth most important private company in the United States (according to Fortune magazine), and Dalio himself has been named to TIME’s list of the 100 most influential people in the world. Along the way Dalio discovered unique principles that have led to his and Bridgewater’s unique success. It is these principles, and not anything special about Dalio, that he believes are the reason behind whatever success he has had. He is now at a stage in his life that he wants to pass these principles along to others for them to judge for themselves and to do whatever they want with them.
When you encounter problems, your objective is to specifically identify the root causes of those problems—the specific people or designs that caused them—and to see if these people or designs have a pattern of causing problems.
What are the most common reasons for failing to diagnose well?
The most common mistake I see people make is dealing with their problems as one-offs rather than using them to diagnose how their machine is working so that they can improve it. They move on to fix problems without getting at their root causes, which is a recipe for continued failure. A thorough and accurate diagnosis, while more time-consuming, will pay huge dividends in the future.
The second most common mistake people make is to depersonalize the diagnosis. Not connecting problems to the people who failed and not examining what it is about them that caused the failure will not lead to improvements of the individuals or the machines.
The third biggest reason for failure is to not connect what one is learning in one diagnosis to what was learned in prior ones. It is important to determine whether the root cause of a particular problem (“Harry was careless”) is part of a larger pattern (“Harry is often careless”) or not (“It’s unlike Harry to be careless”).